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Dissertation binders leeds

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Arab-Israeli Conflict: Causes of Conflict. Extracts from this document. Lee Campbell Arab-Israeli Conflict: Task 2 Causes of Conflict Attempts to make peace since 1948 between the Israelis and Arabs have so far failed. Peace talks can't reach agreements despite intervention from dissertation leeds President Clinton. Recently violence has broken out again. The Rival claims to Palestine is a long-term problem, which has gone on essay support, for centuries. The Israelis claim that it is there land because god had promised them the leeds land to them in 'The Bible'.

The Arabs have a claim for the land because they have been living there for the last 13 centuries because in 1500 how many pages, about the 7th Century the Jews went to Europe. Binders? Jerusalem is also a long-term problem because the Jews believe they should own it all because Jesus Christ preached in essay support, the city. King David made it his capital. Solomon also built a temple there and these people are all very important to the Jews. Dissertation Binders? Solomon's temple is even more important to Jews now because all there is left of it is the nyu stern part Western or Wailing Wall. People come from thousands of dissertation binders miles around to see it. Arabs believe that they should have some of Jerusalem because in the city is the spectacular mosques of Al-Aqsa and the Golden Dome mosque. Muslims have a special word for Jerusalem it is 'Al-Quds' which means the Holy Place in Arabic. . read more. The schools that the Arabs go to do not teach Arab History and they have to learn Hebrew, this is so they will feel they are not Arabians. Education in Arab schools also ends at an early stage, this would be so Arabs don't get that better job and therefore they will not get as much money.

The Arabs are also not allowed to represent themselves. The Arab workers are also paid less than the Israeli workers are. So Overall the Israelis are treating the Arabs like the Nazis treated them. Since the essay support Arabs do not get many rights this causes conflict. The Intifada is a short-term problem. In December 1987 4 Arab Palestinians were killed in a road accident. This was the start of the Intifada. Before this incident the group were only shouting out slogans. Dissertation Binders? After the accident the protests became violent. The Israeli source says that Israeli soldiers were attacked with rocks, but increasingly with knives and petrol bombs. The Israeli source also says that the part application essays Arabs did not allow the Israeli soldiers into dissertation binders leeds their villages and Arab school children were encouraged to attack the Israelis, this is probably because there education stops at an early age.

It says that the Israeli soldiers only used plastic and rubber type bullets and only in extreme cases did they use live ammunition, the use of ammunition may create wars and people may have to move because of them. . read more. The problem though now is that the nyu stern part time application PLO and Yasser Arafat are starting to loose control of some of the other Arab groups. Extremists on both sides are not willing to compromise peace on these terms. The hard line Jews say that they will not give in to Arab terrorism and are not giving up the dissertation binders leeds West Bank or the Gaza Strip. Extreme Palestinian Arabs claim that they are only citing dissertation getting little bits of land and they will carry out attacks until they get more land.

The Israeli government will not negotiate Jerusalem. Palestinian Arabs say there will be no end to the conflict unless they regain the Arab half of Jerusalem back again. With the 2 extremist sides wanting totally opposite things there will be always tension between them, which may spill over into conflict. Leeds? Overall to me it is clear that Jerusalem is the problem most important issue. This is because if Jerusalem was sorted out there would probably be no more violence and a major war would be avoided if Jerusalem were sorted out. The Refugee camps are also quite an important issue to sort out because from the sources on the Refugee Camp it sounds like people are treated bad there. Leeds? I think most of the other problems would sort themselves out because the PLO have said that if the cards Arab part of Jerusalem is given back to them they would deliver peace. . read more.

This student written piece of work is one of many that can be found in our AS and A Level Middle east section. Start learning 29% faster today 150,000+ documents available Just £6.99 a month. Join over 1.2 million students every month Accelerate your learning by 29% Unlimited access from just £6.99 per month. Related AS and A Level Middle east essays. Terrorism. What is terrorism? 2. Dissertation? Why do terrorists . 750,000 Palestinians were forced to leave their homeland. Some saw this as the Arabs paying for the guilt for the holocaust which was felt by many in the west.

By 1918 both Jews and Arabs believed that they had the right to rule themselves in their own land - Palestine. However, at essays on professionalism, the end of war Britain regretted to give independence both Arabs and dissertation binders leeds, Jewish. Essay Support? Palestine became a territory governed by Britain. The Arab-Israeli Conflict - Have powers from outside the Middle East helped or hindered . So it became known as The Yom Kippur war in 1973 was the pivotal war because it really alarmed the West and the rest of the world. Dissertation Binders Leeds? Egypt and Syria invaded Israel when it was the Jewish Holiday for citing, the New Year.

History Coursework: The Arab-Israeli Conflict. that if America entered the war they would support the creation of a Jewish state. So America entered the war. The trouble had begun. The Arabs had been in binders, Palestine and essays on professionalism, the Middle East since the seventh century AD when they swept across the Middle East and leeds, North Africa from their homeland. Discuss whether a peaceful solution to the arab - Israeli conflict is citing dissertation possible. Both nations are determined to have their land back and dissertation binders, not give into peace, as this would lose their sense of pride and essays on professionalism, dignity, which is dissertation leeds why it is so difficult for them to on professionalism in education sign a peace agreement.

They'd feel they'd given in dissertation binders leeds, and lost all remaining hope of gaining their land back. In addition, tighter security may reduce level of productivity. For instance, lengthen the waiting times in airports and employ more security. Insurance rates have risen from application essays low levels. The hikes in insurance premiums have hit several industries.

The strongest impact has been aviation, but other sectors, including transportation, construction, tourism and energy generation have also been affected. Assess the relationship between the US and Iraq from 1970 to the present day. Dissertation Binders? To lift sanctions Iraq had to be more open to weapons inspections. They were, but the report delivered in December 1998 by essay support, Richard Butler (head of Unscom) suggested how Iraq had not complied with UN requirements on dissertation binders, the destruction of 1500 essay nerve gas and other weapons of mass destruction. How did the village of Dier Yassin come to be fought over in 1948, . They believe that not only it was promised to them religiously but also they have survived the Holocaust thus is binders leeds vital for them to essay support have a homeland so they have somewhere to go if it happens again.

Also they strongly object to the claim that they authorised the attack on the villages from Jaffa to Jerusalem including Dier Yassin. of student written work Annotated by. experienced teachers Ideas and feedback to. improve your own work. Marked by Teachers, The Student Room and Get Revising are all trading names of dissertation binders leeds The Student Room Group Ltd. TurnItIn the cards anti-plagiarism experts are also used by: Want to dissertation leeds read the rest? Sign up to view the whole essay and download the PDF for anytime access on essay support, your computer, tablet or smartphone.

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RESUME FOR INTERNSHIP: 998 Samples + 15 Templates + Writing Guide. Imagine standing in line with hundreds of dissertation, other people all vying for 1500 word equals, the same internship. Dissertation? When it’s finally your turn, the job recruiter says, “You have six seconds.” That may sound crazy but an eye-tracking resume study discovered that’s how long an employer looks at each resume. You have to make an impression and you have to make it quickly. We’re here to help make your resume stand out. We created 15 professional templates for you to download. Nyu Stern Part Application? We found samples of real-life resumes that landed internships . Binders? And we put together a resource toolkit with almost 1,000 sample resumes, tips, and ideas created by the best universities. Here are the key aspects of your internship resume we’ll guide you on:

How to Write an Internship Resume: The Basics How to Write an Objective (and whether you need one!) Internship Resume Format How to Use Free Internship Resume Templates and can i essay, Samples. Table of Contents. How to Write an Internship Resume: The Basics. It’s tough to grab an employer’s attention in dissertation just a few seconds, especially when you have little or no job experience. But it is possible.

You just have to essay support be a little more creative. Look at your past jobs and the duties you performed in binders a new light. Problem? . For example, if you are applying for a banking internship but never worked in a bank, think outside the box. Dissertation Binders? Maybe you handled money at a concession stand. 1500 Essay Equals Pages? Or, maybe you had to balance a cash drawer in a job as a supermarket checker. Remember, your goal in landing an internship is to use the dissertation binders leeds, skills you already have to contribute to your academic and citing, career goals, and gain new skills as well. Intern recruiters know you don’t have professional-level qualifications yet. They’re looking for someone who wants to learn and who has transferable skills like: Ability to binders communicate Willingness to work hard Creativity Problem-solving ability Initiative Ability to time essays multi-task Leadership. There are a few basic requirements for your resume.

Every internship resume should be: One page in length Clean, error-free, and easy to dissertation read Structured and written to highlight your strengths Immediately clear about your name and problem, the position you are seeking. Surprisingly, your high school or college GPA isn’t as important to intern recruiters as you might think . In 2013, surveyed 300 intern recruiters and found employers put more value on relevant work experience than academic performance. Your list of skills and experience is one of the most valuable things on your resume. Here’s an easy way to dissertation start building a great experience section for essay support, your internship resume. First, create a master list of every job, skill and binders leeds, academic achievement you have in your background. Keep updating it as you think of new things to add. 1500 Word Essay How Many Pages? This is a valuable tool to help you customize each resume you send out.

You’ll pull from this master list to emphasize the binders leeds, skills and experience you have that each employer is looking for . Think of your resume as a way of matching what you have to offer with what an intern recruiter wants for that particular internship program. Keeping these basics in on professionalism in education mind, let’s get down to business. How to write an objective statement. The objective statement goes near the top of your resume, and, in a matter of seconds, should tell an employer what you have to dissertation binders leeds offer. That means you have to write lean and mean. Essay Support? Your goal is to grab a prospective employer’s attention with one or two clear, compelling sentences. Let’s say you are a junior at State University with a journalism major/political science minor looking for an internship. You have experience writing news and features for the college paper.

You also created fliers for a local political candidate. Last summer, you were a part-time copy editor at a community weekly. Dissertation? You would someday like to be a press secretary. Essay Online? You are also a swimmer and dissertation leeds, have won state meets. Here are some internships you might apply for: Public relations intern: Public relations position in nyu stern application essays which I can use my journalism training and my years in competitive sports to promote the New York Yankees. Journalism major desires to use political experience to help John Doe get elected. College recruitment intern: Journalism student and championship swimmer seeks position as marketing assistant to use writing skills and competitive swimming experience to binders raise awareness of the importance of student-athletes at State University. An objective statement tells how you can benefit the company.

What employer wouldn’t want to know that? Yet opinions are divided on part time, whether or not objective statements belong on resumes. That’s because objectives are too often long, unfocused paragraphs that employers skip over. An objective statement like “Seeking a challenging and rewarding position in a dynamic organization for potential growth” is just a lot of binders leeds, words that say nothing meaningful. Some applicants replace “objective statement” with different names that serve the same purpose: Career Summary, Job Goal, Skill Set, Profile, or Personal Branding Statement. Whatever you call the section of your resume that tells an citing employer how your particular skill set and knowledge will help the leeds, company achieve its goals, it’s still an important part of your resume. It’s especially important when applying for an internship, because, this early in can i online your career, your limited work history probably doesn’t define your career goals. Make it concise and dissertation binders, specific. Don’t be vague. Find keywords in the job description and focus on those when describing your knowledge and abilities. Make your objective as unique to you as possible.

Instead of saying “highly motivated student,” say “third-year journalism student.” Instead of saying “excellent communication skills,” say “produced political fliers.” Emphasize your benefit to the employer. You want to tell the company what you can do for problem, it, not ask what it can do for leeds, you. BAD: “Seeking a team-oriented newsroom that fosters my writing development.” GOOD: “Journalism student brings team sports experience to reporter internship.” Emphasize the job experience, character traits, personality, and work ethic that would make you valuable to the company.

Do not write in problem first person. Dissertation? Instead of “I have experience writing code,” say “student with code-writing experience.” It’s almost always best to leave out adjectives and personal pronouns. Try to citing dissertation make each word engaging. A great resume grabs the attention of a potential employer right away. Every objective statement must be customized to leeds the internship you are seeking. Citing Dissertation? Don’t copy and paste the same objective into each internship resume you send out.

When an employer reads an objective statement tailored to the internship they’re hiring for, they’ll see you as someone who knows about and cares about that position. It gives your resume credibility, and signals to the employer that everything else in your resume is relevant too. Now that you know the basics about an internship resume and how to write an objective statement, it’s time to compile your winning resume. Some sections you might include on your internship resume: Objective Education Relevant Coursework Skills Relevant Experience Professional Experience Honors #038; Activities. You don’t have to binders leeds include all of dissertation, these sections. Choose those that are relevant to your experience and binders, the internship you’re applying for.

You’ve done research on the company. You know what it’s all about. You know their mission statement. You’ve identified some keywords that describe what the company wants. You’ll use those keywords as often as you can to describe what you have to essay online offer. Even if you have minimal work experience, you can put together a great resume.

A clean layout with a logical structure will give a good first impression. Display your name, email address, and phone number prominently. (Make sure your voicemail greeting is appropriate.) If your mailing address (your location) helps your resume in any way, add it too. If you have a strong LinkedIn profile, include the URL to your page. Don’t use a silly email address. One that includes your name is best.

Make it clear you are seeking a specific position. State what you can do for them, not what they can do for you. Use keywords from the leeds, company’s website or the internship description. Start with the citing dissertation, degree you are currently working toward. Note the date you expect to dissertation binders graduate. For example, “B.A. expected in June 2017.” List your previous degrees in nyu stern part reverse chronological order, including the name and location of each institution attended.

Include majors, minors, or areas of specialty for each degree. Include your high school only leeds, if you want to 1500 essay equals how many pages highlight its academic reputation or if its location is relevant to the internship. State College (Expected graduation: Spring 2017) Bachelor of Arts in Communication. English minor. Dissertation Leeds? Concentration on public relations. Use this section to show you have appropriate transferable skills, even if you didn’t learn them in the workplace.

Describe classwork that demonstrates skills required for the internship. Include class projects that bolster your value to the employer. Sports writing Communicating Effectively: Increased traffic to college’s SportsTalk website through Search Engine Optimization Public Speaking Video for the Web: Filmed an athlete training for a triathlon. Write a strong summary of your qualifications. Start sentences with active verbs whenever possible. Part Time Essays? Align what you have to binders offer with what the employer wants.

List the skills that are most important to can i buy an online the internship you are applying for. Be creative. You’d be surprised how many life skills transfer to job skills. Include proficiencies as well as interpersonal skills. Proficient in binders leeds Microsoft Word, PowerPoint, and word essay, Excel Experience with online research Bilingual: Fluent in English and Spanish. Include experience that’s relevant to the internship. If you are applying for binders leeds, a job in sports marketing, for on professionalism in education, example, describe your summers working at the baseball stadium.

List certificates from schools or courses that are relevant or impressive. Describe situations in binders which you were a leader or an innovator. Directed setup of political candidate’s County Fair booth Designed website for Junior Fair Queen candidate Completed Great Lakes Bike Tour. You can minimize the fact that you don’t have much relevant job experience by 1500 essay how many pages highlighting transferable skills. For instance, working at dissertation leeds, a fast-food restaurant requires much more than bagging burgers.

You have to be able to communicate, work as a team, manage your time, and handle money. Show results of your work. Use active verbs whenever you can. Tie professional experience back to objective. North Rec Swimming Pool, Amherst, Ohio (Summers of 2012, 2013, 2014) Drew up plans that led to expanding swimming lessons to infants Created Facebook page for pool Taught classes of essays in education, up to 12 youngsters how to swim Used Microsoft Office to dissertation binders leeds make posters for word essay how many, annual swim meet. List awards and academic honors you have received. Dissertation? Highlight specific affiliations and volunteer work relevant to citing dissertation the internship you are seeking. Dean’s list, State University (Fall 2013, Spring 2014) National Merit Semi-Finalist Junior Rotary Club member (2012 to present) Nursing home volunteer: Distributed lunches, assisted with daily bingo games (2010)

If you follow the dissertation binders, above steps, you can create a winning resume for your internship application. And remember, a resume should always be a work in progress. In addition to tweaking and tailoring your resume for each job or internship, continually update your professional profile with new skills and experiences acquired. Be confident. Sell yourself well, and prospective employers will notice.

Make sure you know the solving, basic rules that apply to all resumes. List the experiences most relevant to the internship on your resume. Internships are offered year-round, not just in dissertation binders leeds the summer. Cards? Got your eye on interning for a specific company? Check out their intern opportunities online and leeds, research what the company looks for in employees. Seeking an internship with a particular job title? Switch up the wording to solving cards find more opportunities. For instance, administrative assistant jobs can also be listed as admin assistant, admin asst, or admin assist.

The more internships you can squeeze into your college years, the more you will learn, and the better job candidate you will make. Free Internship Resume Templates and Samples. Now that you know what makes a great internship resume, we’re going to leeds show you some free templates, samples, and resources. This is the final step : customization. Choose a template you like. Look at 1500 word essay pages, resumes of successful intern candidates. Now, it’s time to craft your own. Your resume should be as unique as you are. The good news is, you don’t have to reinvent the wheel to binders do it. 15 Blank Internship Resume Templates.

We took 15 fantastic resume samples in PDF (University of citing dissertation, Tennessee, Knoxville, Washington University in St. Louis, University of Connecticut, Northwestern University, California Polytechnic State University, The University of Oklahoma, Syracuse University, University of dissertation leeds, Nebraska-Lincoln, and the University of nyu stern time essays, Connecticut Storrs – see template descriptions for dissertation binders, details), and buy an online, created 15 professional internship templates in binders leeds MS Word that you can customize and use. These templates are designed to showcase the 1500 word, skills and abilities of students who don’t have an extensive work history but still have a lot to dissertation binders leeds offer. They all work. Just pick one that suits you, download it, and essay support, customize it. 6 Internship Resumes and a Cover Letter that Landed High-Profile Jobs. Not sure what to binders say or how to say it? We convinced six people who landed great internships to can i online allow us to post their resumes here for you. Don’t worry if they seem to have more impressive credentials than you do. If you follow the steps above, you’ll be able to discover and highlight your own impressive experiences. Google and dissertation, Facebook Internship Resume.

Microsoft and on professionalism, Google Internship Resume Sample. Real Software Engineering Internship Resume. Internship Cover Letter Sample Software Engineering. Over 1000 resume samples and dissertation, ideas. In this section you will find more than 50 university resources that contain almost 1,000 samples, ideas, and tips for you to use. University of California, Davis – PDF with 9 resume samples – a simple resume, a chronological format for cards, an internship position, a laboratory research assistant resume, a chronological format for a career position, a functional format for a career position, a chronological format for an entry-level career position, a combination of chronological and functional format for leeds, a research position, a resume with international experience, and a technical resume used for applying for positions in information technology, engineering or consulting. Hope College – PDF guide to dissertation internship resume writing, what makes an internship resume different from other resumes, how to describe your experiences, a list of action verbs to use, as well as 4 resume samples with some formatting tips. University of dissertation leeds, Minnesota – 32 real student resume samples for different majors: Continuing Education Majors, Design Majors, Food, Agricultural and Natural Resource Science Majors, as well as Masters and PhD resume samples. University of California – Irvine – 7 resume samples including 1 internship resume and 2 cover letter examples.

Harvard – an citing online resume workshop explaining how to write resumes, a PDF guide with resume tips, a list of action verbs, how to leeds write an effective cover letter as well as a resume sample, 2 resume templates, and a cover letter sample. Problem Cards? They also provide 2 Word resume samples and binders, 2 PDF resume samples. University of Illinois Chicago – Help with creating a resume and essay, writing a cover letter, video that explains the basics of dissertation binders leeds, writing resumes, 4 freshman resume samples, as well as 4 engineering resumes with internship/research experience, and 6 sample resumes for problem, different majors. University of California, San Francisco – Video tutorials on binders leeds, how to write a successful internship resume, and an action verb list, including 5 sample internship resumes and 1 before-and-after example. Purdue University – Resume writing guide including brainstorming techniques, resume formatting tips, which transferable skills employers are looking for, as well as which sections to include in essay support your resume. Rose Hulman Institute of dissertation binders, Technology – 5 sample resumes by class year, and 20 sample resumes by citing major. University of Oklahoma – 76 sample resumes by major for dissertation binders leeds, full time jobs and internships. Part Time Essays? Eight are internship resume samples along with a sample freshman resume and cover letter for an internship in advertising. San Jose State University – 75 pre-career and career resume samples by major in dissertation leeds applied sciences and arts, business, education, engineering, humanities, science, and social science. Northeastern University – 10 sample resumes by class year as well as major.

St. Olaf College – Before-and-after resume sample, professional school sample resumes, job and internship sample resumes, on-campus recruiting resume samples, as well as samples for specialized fields. Essay Support? 28 samples available in total. University of Berkeley – 56 page job and internship guide which includes a resume and letter writing guide with resume dos and don’ts, along with 9 sample resumes and dissertation binders leeds, cover letters. Pepperdine University – 6 PDF sample resumes for MFT and psychology in both functional and chronological formats. Brown University – Resume and cover letter tip sheets, along with 19 sample resume templates in cards PDF. University of New Hampshire – 20 sample resumes by major, along with a resume outline in Word, and a resume starter template in PDF.

Monash University – 36 sample resumes by college department for both undergraduates and postgraduates. University of dissertation binders, North Florida – 4 sample PDF resumes for internships, 6 sample resumes for nyu stern application essays, entry-level jobs, and 5 sample resumes for experienced alumni. Penn State – 4 sample resumes in both PDF and Word formats for internships, co-ops, entry-level full time positions, and CVs as well as cover letter samples, reference list samples, and post interview letter samples. Rutgers University – Career and internship planning guide in PDF format which includes sections on preparing for internships, finding an internship, and making an dissertation binders impact at your internship. Resume writing tips that include anatomy of a resume, tips to strengthen your resume, how to write accomplishment statements, using a problem-action-result approach, and some power verbs. The guide also contains 8 sample internship resume templates and citing dissertation, 2 CV templates. Saint Joseph’s University – 10 sample resumes with 1 sample internship resume. They also have resume examples by major, and a “Resumes for dissertation binders, International Students” webinar. Rollins College – Guide on how to on professionalism write a resume, resume format and binders, style, as well as samples of different types of resumes, such as targeted, integrated, CVs, and citing, federal resumes. Marquette University – PDF guide to dissertation resume and cover letter writing for internships along with 1 sample cover letter and 2 sample resumes.

Loyola University, Chicago – 11 sample resumes with sample cover letters, including a sample cover letter for internships. They also have various resume and job search guides. University of essay support, Tennessee – 15 sample resumes by major, as well as various sample cover letters. Wake Forest University – Resume writing guide with 10 samples based on different experiences, as well as 5 resume samples for different majors. Stetson University – 11 resume templates, both chronological and functional, as well as internship and first-year student resume samples. DePaul University – Entry-level resume guide with list of action verbs, as well as 6 chronological resume samples, 1 functional resume sample, and 1 combination resume sample. Northwestern University – 16 resume samples by major, including 1 for binders leeds, students with less experience and 1 for dissertation, students with more experience. Muhlenberg College – 18 resume samples by job function and class year. University of Richmond – Guides on binders, resume formatting tips, writing a resume, action verbs, and 15 resume samples in PDF. Anne Arundel Community College – 1 sample internship resume with a resume checklist and features. University of North Carolina, Charlotte – Online presentation on “Resumes That Get you the Interview,” resume writing guide, and 1 sample resume.

College of Charleston – Resume writing guide, resume dos and don’ts and action verbs, with 6 sample resumes in chronological, functional and combination forms. San Francisco State University – Video on internship, sample goal and objectives, and 3 samples for scanning, position-based and skill-based resumes, as well as a resume checklist. University of South Carolina – 1 sample resume template for 1500 equals how many pages, public history students. James Madison University – A resume writing guide focusing on objective, education, coursework, projects and skills, experience and activities, format, appearance, and references. Towson University – 4 sample resumes for binders, biology students, with student profiles to explain background behind the resume. 855.213.0348 | MON-FRI 8A-8P, SAT 8A-5P, SUN 10A-6P CST.

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8 Simple Business Plan Templates for Entrepreneurs. Dissertation! Writing a business plan is an important step in nyu stern part time application, the startup process. It helps you and your partners decide if you will work well together, teaches you about the marketplace, and lets you brainstorm business and product goals. Dissertation! But because of all the effort and detail involved, many entrepreneurs dread the thought of sitting down and creating this critical but time-consuming document. While business plans can be frustrating if you#39;re writing one from scratch, there are plenty of citing dissertation online templates available to take some of the pain out of the process. Small business owners can benefit from simple, easy-to-follow business-plan tools so they can spend less time writing and more time launching. Here are eight resources you can use to help you craft a professional business plan quickly and easily. You#39;ve heard about those entrepreneurs who started off by jotting down their ideas on a napkin at a bar, café or restaurant. $100 Startup#39;s One-Page Business Plan is a little like that, but more organized. Designed for entrepreneurs who are itching to binders, get started, this simple business-plan template asks a handful of questions that you can easily answer in essay support, one or two sentences. Binders Leeds! It covers everything from what you sell and who will buy it to how you will get paid, hustle to find customers, foresee challenges and part time application, overcome the dissertation, obstacles all in a single page. [Writing a Business Plan? Do These 5 Things First] Not all small businesses are concerned with credit lines, partnerships and office space at word essay pages, least not in the beginning.

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Users can get started on Enloop for free; more advanced paid options are also available. LivePlan is a relatively new entrant to citing dissertation, the online business-tools market that helps you every step of the way, from the planning stages through your launch. Like other services, LivePlan allows business owners to craft perfectly formatted plans. From there, users can create the presentation necessary to pitch their business ideas to would-be investors. Dissertation! Once off the ground, businesses can track revenue and nyu stern part time application, expenses against dissertation forecasts, and multiple users within a company can work through the time, LivePlan interface.

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Free Information Technology essays. Many techniques in data mining and machine learning follow a gradient-descent paradigm in the iterative process of discovering a target functions or decision model. For instance, neural networks generally perform a series of iterations to converge the weight coefficients of edges in the network; thus, settling into a decision model. Many learning problems now have distributed input data, due to the development of distributed computing environment. In such distributed scenarios, privacy concerns often become a big concern.

For example, if medical researchers want to apply machine learning to study health care problems, they need to dissertation, collect the raw data from essay online hospitals and the follow-up information from dissertation binders patients. Then, the privacy of the patients must be protected, according to the privacy rules in Health Insurance Portability and Accountability Act (HIPAA) [1], which establishes the regulations for can i buy an the use and disclosure of Protected Health Information. Why the researchers would want to build a learning model (e.g., neural networks) without first collecting all the training data on dissertation leeds, one computer is a natural question. If there is a learner trusted by all the data holders, then the online, trusted learner can accumulate data first and build a learning model. However, in many real-world cases, it is rather difficult to find such a trusted learner, since some data holders will always have concerns like ‘What will you do to my data’? and ‘Will you discover private information beyond the scope of research’? On the other hand, given the distributed and networked computing environments at present, alliances will greatly benefit the binders, scientific advances [2]. The researchers have the interest to obtain the result of cooperative learning even before they see the data from essay support other parties. Dissertation. As a concrete example, the progress in neuroscience could be boosted by citing making links between data from labs around the world, but some researchers are reluctant to release their data to be exploited by others because of dissertation leeds, privacy and security concerns. 1.2 REPORT ORGANIZATION.

This thesis describes the design and development of the Privacy Preserving Gradient Descent Method Applied for citing Neural Network with Distributed Datasets, as well as the dissertation binders leeds, procedures used to essays in education, test their effectiveness. The report is organized as follows: Chapter 2: Literature survey. This chapter focuses on binders leeds, review of different related work as well as emphasizing on privacy preserving distributed datasets for solving classification problems. Chapter 3: Problem definition.

This chapter describes the citing dissertation, problem definition and goals of proposed system. Chapter 4: System Design and Implementation. This chapter focuses on design of binders, system, architecture of the essays, system and privacy preserving gradient descent method used for implementation of the system. Also, it focuses on leeds, metrics used for evaluation of the system. Chapter 5: Experimental results and dissertation Analysis.

This chapter describes the experimental results obtained from the system. Also, it focuses on the analysis of leeds, results as well as comparison of 1500 word, performance with other system. Chapter 6: Conclusion. This chapter summarizes the dissertation leeds, method used for privacy preserving for owners of distributed dataset applied for neural network. Also summarizes experimental results obtained by comparing different methods. This chapter focuses on review of solving cards, different related work and emphasizing on different techniques for dissertation binders preserving privacy of distributed datasets. 2.1 Present Theory and 1500 equals how many pages Practices. D. Agrawal and R. Srikant have proposed the problem of performing data analysis on distributed data sources with privacy constraints [4]. They used some cryptography tools to dissertation leeds, efficiently and securely build a decision tree classifier. A good number of data mining tasks have been studied with the consideration of privacy protection, for example, classification [5], and clustering [6].

In particular, privacy-preserving solutions have been proposed for the following classification algorithms (to name a few): decision trees, naive Bayes classifier [8], and support vector machine (SVM) [9] Generally speaking, the existing works have taken either randomization-based approaches or cryptography- based approaches[7] Randomization-based approaches, by perturbing data, only guarantee a limited degree of can i buy an online, privacy. A.C.Yao has proposed general-purpose technique called secure multiparty computation [10]. The works of secure multiparty computation originate from the dissertation leeds, solution to the millionaire problem proposed by Yao, in which two millionaires can find out who is richer without revealing the amount of their wealth. In this work a protocol is presented which can privately compute any probabilistic polynomial function. Although secure multiparty computation can theoretically solve all problems of privacy-preserving computation, it is too expensive to be applied to problem solving, practical problems. Cryptography-based approaches provide better guarantee on privacy than randomized-based approaches, but most of the cryptography-based approaches are difficult to be applied with very large databases, because they are resource demanding.

For example, although Laur et al. proposed an elegant solution for privacy-preserving SVM in [9], their protocols are based on circuit evaluation, which is considered very costly in leeds, practice. L.Wan, W. K. Ng, S. Han, and V. C. Citing. S. Dissertation. Lee have proposed a preliminary formulation of how many pages, gradient descent with data privacy preservation [13]. They present two approaches’stochastic approach and least square approach’under different assumptions. Four protocols are proposed for the two approaches incorporating various secure building blocks for both horizontally and vertically partitioned data. 2.2 The Limitations of Present Practices. In the Literature Survey, work is carried on dissertation binders leeds, privacy preserving Data Mining for performing data analysis on distributed datasets. Further the solution proposed in the Privacy Preserving Gradient Descent Methods gives general formulation for preserving privacy of citing, distributed datasets to binders leeds, solve optimization problems. There is no any work done related to gradient descent method applied for essay back propagation neural network with distributed datasets i.e. Leeds. horizontal fragmentation and vertical fragmentation datasets.

It is citing therefore required that this solution for the privacy preserving gradient descent method needs to be applied to leeds, the Neural Network for solving classification problem. 3.1 PROBLEM DEFINITION. The researchers have the interest to obtain the essay support, result of cooperative learning of multiple parties’ data for solving classification problems, but some researchers are reluctant to release their data to be exploited by others because of privacy and security concerns. Binders Leeds. Therefore, there is a strong motivation for learners to develop cooperative learning procedure with privacy preservation. On Professionalism In Education. Hence the goal is to design and implement a privacy preserving gradient descent method applied for back propagation neural network with distributed datasets i.e. horizontal fragmentation and vertical fragmentation datasets for solving classification problems. We can train the neural network by using distributed datasets for solving classification problems. Dissertation Leeds. If unknown samples come for testing then we can easily classify it to desired output. Goals of essay support, dissertation are: ‘ Apply a standard non privacy preserving algorithm on Back Propagation Neural Network with different datasets. ‘ Implementing cryptography technique for preserving privacy of owner’s dataset.

‘ Implementing of Privacy preserving Least Square Approach Algorithm on horizontal partitioned dataset for Back propagation Neural Network Training. ‘ Implementation of Privacy preserving Least Square Approach Algorithm on Vertical partitioned dataset for Back propagation Neural Network Training. ‘ Analyze the results. SYSTEM DESIGN AND IMPLEMENTATION. In this dissertation work, focus is to implement the privacy-preserving distributed algorithm to securely compute the piecewise linear function for the neural network training process to obtain the desired output. We can train the neural network by using distributed datasets for leeds solving classification problems.

If unknown samples come for testing then we can easily classify it to desired output. The Gradient Descent Method is used for updating weight coefficients of edges in the neural network. This method has two approaches-Stochastic approach and Least Square approach. Essay Support. In this project we use Least Square approach of Gradient Descent Method. This chapter highlights on the architecture and implementation details of dissertation work. 4.1 ARCHITECTURE OF SYSTEM. Figure 4.1 shows System Architecture, different components and binders leeds structure of proposed system. Cards. To train the system Standard Dataset from UCI Machine Learning Repository is used.

There are 3 Datasets are used for the implementation of dissertation binders, Least Square Approach i.e. Iris Flower Dataset, Tennis Dataset and Wine Dataset. Modules in the proposed system are as follows. 1. Implementing a standard non privacy preserving algorithm on Neural Network. 2. Implementing cryptography technique for preserving privacy of owner’s dataset. 3. Implementation of Privacy preserving Least Square Approach Algorithm on horizontal partitioned dataset for Back propagation Neural Network Training. 4. Implementation of Securely Computing the Piecewise Linear Sigmoid Function for Vertically partitioned dataset and Implementation of Privacy preserving Least Square Approach Algorithm on Vertically Partitioned dataset for Back propagation Neural Network Training. 5. Analysis of results. Figure 4.1 Architecture of System. 4.1.1 A standard non privacy preserving algorithm on Neural Network. Non privacy preserving algorithm for dissertation training dataset on back propagation neural network is dissertation leeds implemented for analysis purpose.

4.1.2 A cryptography technique for preserving privacy of owners dataset. The main idea of the algorithm is to secure each step in the non-privacy-preserving gradient descent algorithm, with two stages i.e feed forward and back propagation. In each step, neither the input data from the essay support, other party nor the intermediate results can be revealed. Possible encryption mechanism is Elgamal Encryption Scheme, Deffie Hellman Scheme and Palliers Cryptosystem, etc. Dissertation. The work will make use of Elgamal encryption scheme. 4.1.3 Privacy preserving Least Square Approach Algorithm on horizontal partitioned dataset for Back propagation Neural Network Training. In this module we implement Least Square approach algorithm for horizontal partioned dataset for effectively obtaining exact output for classification of data between two parties. 4.1.4 Securely Computing the Piecewise Linear Sigmoid Function for Vertically partitioned dataset.

In this module we implement sigmoid function to obtain exact output of essay support, dataset and to guarantee privacy-preserving product computation using cryptograpy techniques for two parties. To hide the intermediate results such as the values of hidden-layer nodes, the leeds, two parties randomly share each result so that neither of the two parties can imply the original data information from the intermediate results. 4.1.5 Privacy preserving Least Square Approach Algorithm on Vertically Partitioned dataset for essay Back propagation Neural Network Training. The Gradient descent method uses Least Square Approach to determine Weight (w) to best fit training data in binders, the Back propagation Neural Network to obtain exact output by problem solving cards minimizing the error rates. After the binders leeds, entire process of private training, without revealing any raw data to each other, the two parties jointly establish a neural network representing the properties of the union dataset used for solving classification problems.

4.1.6 Comparison study and analysis of results. ‘ Comparison of non privacy preserving algorithms with privacy preserving algorithms in terms of error rates required for obtaining desired output. ‘ Comparison study between horizontally partitioned cases and problem solving vertically partitioned cases in terms of error rates required for obtaining desired output. ‘ To test the accuracy of dissertation leeds, testing datasets for buy an essay horizontal partitioned datasets and vertical partitioned datasets. 4.2 IMPLEMENTATION DETAILS. System consists of five modules as shown in Figure 4.2. System is initiated from three training datasets such as Iris Flower Dataset, Wine Dataset and Tennis Dataset which are standard datasets taken from UCI Machine Learning Repository. Dissertation. Here for solving Classification problem we use Back propagation neural network model.

In first module we train the neural network by using non privacy preserving gradient descent method using least square approach for analysis purpose. In second module we implement Elgamal Cryptograpy technique which is used for privacy preserving gradient descent method using least square approach for neural network on vertical partitioned datasets. In next module we implement privacy preserving gradient descent method applied for neural network with horizontal partitioned datasets. Finally we implement privacy preserving gradient descent method applied for neural network with vertical partitioned datasets. In analysis phase we analyze the accuracy of citing dissertation, each technique by testing sample data values. Figure 4.2: DFD for leeds proposed system. 4.2.1 A standard non privacy preserving Gradient Descent algorithm with Least Square Approach on Back propagation Neural Network. Work is carried out on first module implementation of Gradient Descent Algorithm with Least Square Approach. The back propagation is applied for Least Square Approach where the word essay equals, iteration is decided based on the tolerable error allowed to stop the dissertation, training process.

The literature behind the same and sample hand simulation is essays on professionalism shown in the below mentioned figure 4.3. Figure 4.3: Sample hand simulation of Neural Network. The connection we’re interested in dissertation binders, is between neuron A (a hidden layer neuron) and can i buy an essay online neuron B (an output neuron)and has the weight WAB. The figure 4.3 also shows another connection, between neuron A and C, but we’ll return to that later. The algorithm works like this: 1. Binders Leeds. First apply the inputs to essays, the network and work out the output ‘ remember this initial output could be anything, as the initial weights were random numbers. 2. Next work out the error for neuron B. The error is what you want ‘ What you actually get, in other words: ErrorB= OutputB(1-OutputB)(TargetB’ OutputB).

3. Dissertation Leeds. The ‘Output(1-Output)’ term is necessary in nyu stern part time application, the equation because of the Sigmoid Function ‘ if we were only using a threshold neuron it would just be (Target ‘ Output). 4. Change the weight. Binders. Let W+AB be the new (trained) weight and WAB be the initial weight. W+AB= WAB + (ErrorB x OutputA) Notice that it is the output of the connecting neuron (neuron A) we use (not B). Essay Support. We update all the weights in the output layer in this way. 5. Calculate the Errors for the hidden layer neurons.

Unlike the output layer we can’t calculate these directly (because we don’t have a Target), so we Back Propagate them from the output layer (hence the name of the dissertation binders leeds, algorithm). 1500 Word Essay Pages. This is done by taking the dissertation, Errors from the online, output neurons and running them back through the weights to get the hidden layer errors. Dissertation Leeds. For example if neuron A is connected as shown to citing dissertation, B and C then we take the errors from B and leeds C to 1500 word equals pages, generate an error for A. ErrorA= OutputA(1 – OutputA)(ErrorBWAB + ErrorCWAC) Again, the factor ‘Output (1 – Output )’ is present because of the leeds, sigmoid squashing function.

6. Having obtained the Error for the hidden layer neurons now proceed as in stage 3 to change the hidden layer weights. By repeating this method we can train a network of any number of layers. Figure 4.4 shows detailed Flowchart of Gradient Descent Algorithm with Least Square Approach on Back Propagation Neural network. Figure 4.4 Flowcharts for Least Square Approach on Neural Network Training. 4.2.2 ElGaml cryptography technique for preserving privacy of owners dataset. Work is carried out on second module Implementation of ElGamal Encryption cryptography technique for can i essay online preserving privacy of owner’s dataset. The main idea of the algorithm will be secure each step in the non-privacy-preserving gradient descent algorithm, with two stages i.e feed forward and dissertation binders back propagation. In each step, neither the input data from the other party nor the intermediate results can be revealed. Possible encryption mechanism is Elgamal Encryption Scheme, Deffie Hellman Scheme and Palliers Cryptosystem, etc. The work will make use of Elgamal encryption scheme. In this module, we are concentrated towards implementation of ElGamal Encryption Mechanism and essays on professionalism in education study its properties.

In cryptography, the ElGamal encryption system is an asymmetric key encryption algorithm for public-key cryptography which is based on the Diffie’Hellman key exchange. It was described by Taher Elgamal in 1985. The ElGamal cryptosystem is usually used in dissertation, a hybrid cryptosystem. i.e., the message itself is encrypted using a symmetric cryptosystem and ElGamal is then used to dissertation, encrypt the key used for the symmetric cryptosystem. Leeds. This is because asymmetric cryptosystems like Elgamal are usually slower than symmetric ones for the same level of security, so it is faster to encrypt the application essays, symmetric key (which most of the time is quite small if compared to binders, the size of the message) with Elgamal and the message (which can be arbitrarily large) with a symmetric cypher. ElGamal encryption Algorithm:

The ElGamal encryption system is an asymmetric key encryption algorithm for public-key cryptography which uses secrete key to compute private key of decryption algorithm. ElGamal encryption consists of three components: the essay support, key generator, the encryption algorithm, and the decryption algorithm. 1. Key generator. i. Generate large prime p and generator g of the multiplicative Group of the integers. ii.

Select a random integer a, 1 = a= p- 2, and compute ga mod p. iii. Public key is (p; g; ga); secrete key is a. i. Dissertation. Obtain public key (p, g, ga). ii. Represent the message as integers m in the range . iii. Select a random integer k, 1=k=p-2. iv. Compute ??=gk mod p and ?? = m*(ga )k. v. Send ciphertext c=(. ??). i. Use secret key a to compute (??p-1-a) mod p. ii.

Recover m by computing (??a) * ?? mod p. 1. Problem Cards. Key generation. e.g. Public key (17, 6,7): Public key ga mod p = 65 mod 17 = 7. Message for encryption is m=13. Chosen random k=10. Computed ??= gk mod p= 610 mod 17 = 15. Encrypted message ??= m*gk mod p = (13 * 710) mod 17 =9.

Sends ??=15 and ??=9 for decryption. It receives ??=15 and ??=9. Public key is (p, g, ga)= (17, 6, 7) Secret key is a=5. (??-a)*?? mod p= 15-5 mod 17= 1511 mod 17 = 9. (?? *9) mod p = (9*9) mod 17 =13. Decrypted message is: 13. Properties of ElGamal Encryption Scheme: Homomorphic Property: For two messages m1 and m2, an encryption of can be obtained by an operation on E(m1,r) and dissertation binders leeds E(m2,r) without decrypting any of the problem cards, two encrypted messages. Probabilistic Property: Besides clear texts, the encryption operation also needs a random number as input. One encrypted message as input and outputs another encrypted message of the same clear message.

This is called re-randomization operation. 4.2.3 Privacy preserving Least Square Approach Algorithm on dissertation, horizontal partitioned dataset for Back propagation Neural Network Training. In this module, we are concentrating towards implementation of Horizontal Partition Case for Least Square Approach. This Horizontal Partition Case is experimented for nyu stern two parties. Party One will contain some records of the horizontally partitioned dataset, whereas Party Two will contain remaining records of the partitioned dataset.

1. Applying least square approach for back propagation neural network at binders, party one. It will generate the output weight vectors. These weight vectors are stored in .csv file format. 2. Nyu Stern Time Application Essays. These files contain the weight vector values which can be transferred by Party 1 to Party two. These weight vector values will not disclose any sort of binders leeds, input to the other party and problem solving cards hence preserves the privacy of the data elements. 3. Leeds. Party two further performs his training by reading this partial trained weight vector values using least square approach for back propagation neural network and the final generated weight vector values can be used by both parties for performing testing. 4.2.4 Privacy preserving Least Square Approach Algorithm on Vertically Partitioned dataset for Back propagation Neural Network Training. 1. Every individual Party will perform ElGamal Encryption Mechanism to convert their set of data into citing, encrypted form as explained in module 2.

2. All encrypted data is dissertation collected at a single repository. 3. Essay Support. Normalization of the record is made in the range of dissertation, -1 to essay equals how many, 1. For this we use following equation. In = (I-min) ((newMax-newMin)/(Max-Min)) +newMin. In our case newMin is -1 and newMax = +1. 4. Least Square Approach Training for binders leeds Back propagation neural network is performed. For better understanding, the back propagation learning algorithm can be divided into two phases: propagation and citing weight update. Phase 1: Propagation. Each propagation involves the following steps: ‘ Forward propagation of a training pattern’s input through the neural network in order to generate the propagation’s output activations.

‘ Backward propagation of the propagation’s output activations through the neural network using the training pattern’s target in dissertation binders, order to generate the deltas of all output and hidden neurons. Phase 2: Weight update. For each weight-synapse follow the following steps: ‘ Multiply its output delta and input activation to get the gradient of the in education, weight. ‘ Bring the weight in the opposite direction of the gradient by subtracting a ratio of it from the weight. This ratio influences the speed and dissertation quality of learning; it is called the time essays, learning rate. The sign of the gradient of a weight indicates where the error is increasing; this is why the weight must be updated in leeds, the opposite direction.

Repeat phase 1 and 2 until the buy an essay online, performance of the network is satisfactory. 4.2.5 Comparison Study and Analysis. In this module, we analyses the leeds, accuracy factor between Non Privacy Preserving Least Square Approach, Privacy Preserving Least Square Approach on can i buy an essay, Horizontal Dataset and Privacy Preserving Least Square Approach on Vertical Dataset. Also we analyses execution time of algorithms, Number of iterations and Learning rates. 4.2.6 CLASS DIAGRAM. Figure 4.5 shows the class diagram of the system. System contains UtilClass class which contains main method. ANNLearner class which implements actual least square approach of gradient descent method. Dataset class print input and output of dissertation leeds, dataset values.

Form class shows the graphical presentation of system. AttributeSet class print the problem, attributes of datasets. Figure 4.5: Class Diagram of dissertation leeds, system. 4.2.7 SEQUENCE DIAGRAM. Figure 4.6 shows sequence diagram of the system.

The purpose of sequence diagram is to visualize the interaction behavior of the solving, system. Dissertation Leeds. The sequence diagram shows the actual working of Least Square Approach of Gradient Descent Method on Back Propagation Neural Network. Figure 4.8: Sequence diagram of dissertation, system. This chapter elaborates the experimental dataset, results of the dissertation binders, system and essay support evaluation on these results. 5.1 Experimental Data. Several standard datasets are available for experimental purpose which are taken from UCI Machine Learning Repository. 3 Datasets are used for the implementation of dissertation binders, Least Square Approach of Gradient Descent Method on Back Propagation Neural Network. 1. Iris Flower Dataset- Numerical, Continuous and Multivariate.

Iris Iris-setosa Iris-versicolor Iris-virginica. 2. Tennis Dataset- Character, Weather Character Strings and Multivariate. Outlook Sunny Overcast Rain. Temperature Hot Mild Cool. Humidity High Normal. Wind Weak Strong. PlayTennis Yes No. 3. Nyu Stern Part Application Essays. Wine Dataset ‘ Numerical, Continuous and Multivariate. Wine-class 1 2 3. 5.2 Experimental Results and Analysis:

The figure 5.1 shows GUI Interface for the implementation. Figure 5.1: GUI Interface. 5.2.1 A standard non privacy preserving Gradient Descent algorithm with Least Square Approach on Back propagation Neural Network. In this module we set Execution Parameters for the datasets as shown in Table 5.1. Sr.No Name of Dataset Number of Hidden Units Layer Structure Learning Rate Momentum Number of dissertation leeds, Iterations. 1 Iris 2 4-2-3 0.25 0.1 450. 2 Tennis 2 4-2-1 0.25 0.1 450. 3 Wine 10 13-10-3 0.25 0.1 5000. Table 5.1 Execution Parameters for the datasets. The Results of the essays, Testing Accuracy for the above mentioned parameters is as shown in dissertation leeds, Table 5.2.

Sr.No Name of Dataset Number of Test Samples Correct Predictions Incorrect Prediction Percentage Accuracy. 1 Iris 50 49 1 98% 2 Tennis 4 2 2 50% 3 Wine 13 9 4 69.23% Table 5.2 Testing Accuracy for the datasets. Figure 5.2 shows the graph of testing accuracy of non privacy preserving gradient descent method applied on different datasets. Figure 5.2: Percentage Accuracy on Datasets. The Percentage accuracy can be improved of any dataset by training the network for longer duration with less of learning rate.

This behavior can be analyzed using the statistics as shown in Table 5.3. Name of Dataset: Tennis. Learning Rate Number of Iterations Percentage Accuracy Remarks. 0.25 450 50 Sample 1. 0.1 450 75 Improvement in test results due to reduction of learning rate against Sample 1. 0.25 1000 75 Improvement in test results due to increase in number of iteration against Sample 1. Table 5.3 Improvement of percentage accuracy of Tennis dataset.

The Execution Time of the algorithms is also recorded. We can easily see that the execution time increases with the increase in the number of iterations as shown in Table 5.4. Name of 1500 word essay, Dataset: Wine. Number of Iterations Learning Rate Execution Time (Nanoseconds) Remarks. 250 0.25 153.34 Sample 1.

250 0.01 158.22 Result1: The Time Increases with decrease in Learning Rate, slow learning requires additional time based on binders, Sample 1. 250 0.001 164.21 Further reduction in Learning Rate increases the execution time based on above Result 1. 1000 0.25 544.69 Result 2: The Time increases with increase in number of iteration of the algorithm based on sample 1. 2000 0.25 1035.18 Further increase of number of iteration also increases the time essays, execution time based on Result 2. Table 5.3 Execution time of algorithm for Tennis dataset. 5.2.2 ElGaml cryptography technique for preserving privacy of owners dataset.

We apply ElGamal Encryption Scheme on dissertation binders, Iris Dataset. Dissertation. The results of ElGamal Encryption Scheme on Iris Dataset can be seen as shown in Figure 5.3. Figure 5.3: ElGamal Encryption Scheme on dissertation leeds, Iris Dataset. In this module we concentrate on generating the citing dissertation, truncated values dataset which is a basic requirement for ElGamal Encryption Scheme. Following Figure 5.4 shows the execution of the program implemented for converting the Dataset values to whole numbers and writing them into another file as a new dataset. Figure 5.4: Conversion of dissertation binders, dataset values to whole numbers. On this updated dataset if Neural Network Training is performed certain accuracy loss is observed. Let us compare this accuracy loss due to truncation of the dataset.

Table 5.4 indicates the Parameters used for can i online normal and updated dataset for the sake of training. Name of Dataset Iris. Total Number of Train Samples 100. Total Number of Test Samples 50. Number of Hidden Units 2. Learning Rate 0.25.

Number of iterations 450. Table 5.4 Execution Parameters used for normal and updated dataset. Table 5.5 indicates the Accuracy Factor involved in the training of iris and iris new dataset (as needed for ElGamal Scheme). Name of dissertation leeds, dataset Iris IrisNew(Encrypted) Number of Test Samples 50 50.

Number of essays in education, Test Sample Correctly Calculated 49 48. Percentage Accuracy 98% 96% Table 5.4 Percentage Accuracy of datasets. From Table 5.4 we observed that small accuracy has to comprised to with ElGamal Encryption Scheme, which is acceptable figure. 5.2.3 Privacy preserving Least Square Approach Algorithm on horizontal partitioned dataset for Back propagation Neural Network Training. In this module we implement Horizontal Partition Case for Least Square Approach. Dissertation. This Horizontal Partition Case is buy an essay online experimented for two parties. Party One will contain some records of the horizontally partitioned dataset, whereas Party Two will contain remaining records of the binders leeds, partitioned dataset. Figure 5.5 shows the screenshot of essay support, number of binders leeds, records read by Party one. Figure 5.5: screenshot of number of records read by essay support Party one.

Further the training is carried out with the parameters as shown in above figure 5.5. The weight vector values are generated accordingly on dissertation binders, the 54 records of this iris dataset as shown in Figure 5.6. Figure 5.6: weight vector values generated for essay support iris dataset. After the learning process at Party one is completed, two files are exported. These exported files contain the weight vector values which can be transferred by dissertation binders leeds Party one to cards, Party two. Dissertation. These weight vector values will not disclose any sort of input to the other party and hence preserves the privacy of the data elements as shown in Figure 5.7. Figure 5.7: Screenshots of exported files containing weight vector values. The exported files are further given to Party two for performing his set of training. Hence we transfer the essays in education, file from Party one to Party two as shown in Figure 5.8. Figure 5.8: Screenshots of exported files containing weight vector values at Party two. Party two further performs his training by reading this partial trained weight vector values and the final generated weight vector values can be used by both parties for performing testing as shown in leeds, Figure 5.9.

Figure 5.9: Screenshots of training performed at Party two. Testing Results either at Party one or Party two are shown in Figure 5.10. Figure 5.10: Screenshots of Testing performed at Party two. We executed horizontally partitioned case on multiple dataset and compared the results with Non Privacy Preserving Algorithms. The Results of the Testing Accuracy for the above mentioned parameters (Table 5.1) is buy an essay online as shown in Table 5.5.The result shows the comparison between Non privacy preserving algorithm and privacy preserving horizontal partitioned datasets using gradient descent method.

Non Privacy Preserving Algorithm. Privacy Preserving Horizontal Algorithm for Least Square Approach. Name of Dataset Number of Test Samples Correct Predictions Incorrect Prediction Accuracy Correct Predictions Incorrect Prediction Accuracy. Iris 50 49 1 98% 47 2 94% Wine 13 9 4 69.23% 9 4 69.23% Tennis 4 2 2 50% 2 2 50% Table 5.5 Testing Accuracy of datasets. Figure 5.11 shows graphical representation of the comparison between Non privacy preserving algorithm and binders privacy preserving horizontal partitioned datasets using gradient descent method. Figure 5.10: Comparison of citing dissertation, testing results between non privacy and privacy preserving algorithm.

From Table 5.5 it can be seen that there is no significant loss in the accuracy if training is binders leeds performed on ample number of iterations. Can I Buy An Essay. With security of data elements across horizontally portion can be achieved without much compromising on the accuracy factor of the algorithm. 5.2.4 Privacy preserving Least Square Approach Algorithm on Vertically Partitioned dataset for Back propagation Neural Network Training. In this module, we are implemented Least Square Approach of dissertation, gradient descent method for Vertical Partition Case. This Vertical Partition Case is experimented a dataset which is divided in equals pages, two parties and they together want to train a neural network without revealing their actual content. We make use of ElGamal Encryption Algorithm for keeping the data integrity.In cryptography, the ElGamal encryption system is an asymmetric key encryption algorithm for public-key cryptography, which is based on dissertation leeds, the Diffie’Hellman key exchange. First, every party needs to essay support, encrypt their data using the Elgamal encryption technique individually and send the data to dissertation leeds, trusted third party where the data will be collected in Encrypted.

To simulate this we have executed a code which converts the data values into dissertation, Encrypted Form using ElGamal Encryption. Dataset used for ElGamal Encryption is Iris Dataset. Train Record Set: 100 records. Test Record Set: 50 records. Figure 5.11 shows the screenshot of binders leeds, execution of ElGamal encryption algorithm on part time application, Iris Dataset. Figure 5.11: Screenshot of execution of ElGamal encryption algorithm on Iris Dataset. This Program produces the encrypted values for all the binders leeds, data records. Essay Pages. This simulation can be done by individual parties. Once all these data records are made available in Big Integer data type in an encrypted form, then it will not reveal any of the dissertation binders, information to the users as the data is in encrypted form. The learning trusted party will also be not able to incur any information using this data records as shown in can i online, Figure 5.12.

Figure 5.12: Screenshot of Encrypted Iris dataset. Similarly the test records can also be encrypted. Figure 5.13 shows the screenshot of big integer data records. Figure 5.12: Screenshot of big integer data records. Further all the dissertation binders leeds, data records are needs to normalize because to get higher accuracy of neural network. Normalization is solving cards carried out in the range of -1 to +1. For this we use following equation. In = (I-min) ((newMax-newMin)/(Max-Min)) +newMin.

In our case newMin is binders leeds -1 and newMax = +1. Figure 5.13 shows the screenshots of normalized data records. Figure 5.13: Screenshot of normalized data records. Figure 5.14 indicates the result of Vertical Partitioned Dataset training for the Iris dataset. Figure 5.14: Screenshot of equals pages, Vertical Partitioned Dataset training for the Iris dataset. 5.2.4 Analysis of Work. We analyses the accuracy factor between Non Privacy Preserving Least Square Approach, Privacy Preserving Least Square Approach on Horizontal Dataset and dissertation binders leeds Privacy Preserving Least Square Approach on Vertical Dataset. Table 5.6 shows the comparison of percentage accuracy of testing datasets of three approaches. Non Privacy Preserving Algorithm. Essay Support. Privacy Preserving Horizontal Algorithm for Least Square Approach Privacy Preserving Vertical Algorithm for Least Square Approach.

Name of Dataset Number of Test Samples Correct Predictions Incorrect Prediction Accuracy Correct Predictions Incorrect Prediction Accuracy Correct Predictions Incorrect Prediction Accuracy. Iris 50 49 1 98% 47 2 94% 42 8 84% Wine 13 9 4 69.23% 9 4 69.23% 9 4 69.23% Tennis 4 2 2 50% 2 2 50% N.A N.A N.A. Table 5.5 Testing Accuracy of datasets. The Tennis dataset is a character based dataset. The ElGamal Security scheme works with numeric data type.

So in above Table 5.5 there is no result shown for vertical partitioned datasets. Although this can be taken as a future work as to extend the binders leeds, vertical partition case for a character type of data to work with Encryption mechanism. Figure 5.15 shows the graphical representation of comparisons of accuracy of testing datasets for three approaches. Figure 5.15: Graphical representation of comparisons of accuracy of testing datasets for three approaches. From Figure 5.15 it is essay equals how many pages observed that there is no significant loss in the accuracy if training is performed on ample number of iterations. The number of dissertation binders, iterations and the learning rate are modified for the Privacy Preserving Vertical Partition Case as the cryptographic implementation makes the data loss to happen. But still at the cost of some learning improvement the data can be kept secured for Privacy Preserving Vertical Partitioned Case. Gradient descent method is used for solving many optimizations and learning problems. In this dissertation work, we presented a secure gradient descent method for training of neural network for distributed datasets. Gradient Descent method contains two approaches i.e. Problem Solving Cards. stochastic approach and Least Square approach. For our work least square approach is binders leeds used and it is citing dissertation well suited for binders leeds training of neural network.

We use Back Propagation neural network for training purpose. We works on privacy preserving protocols for securely performing gradient descent method over dissertation, vertically or horizontally partitioned data based on the least square approach between two trusted parties. Our experimental results show that the protocols are correct and preserving privacy of each data holders. Binders. We also conducted experiments to analyze the results of non privacy preserving least square approach with privacy preserving least square approaches for horizontal and buy an essay vertical portioned datasets. Dissertation Binders Leeds. The excremental results shows that proposed least square approach of can i, gradient descent method for distributed datasets is securely preserving privacy of individual dataset holders. For future work, we will extend our dissertation work for distributed datasets i.e. horizontal partitioned and vertically partitioned datasets using the least square approach for multiple parities. Further, our work will extend the dissertation, vertical partition case for a character type of data to work with Encryption mechanism. [1] HIPPA, National Standards to Protect the Privacy of Personal Health Information, [Online].

Available: [2] M. Chicurel, ‘Data basing the brain,’ Nature, vol. 406, pp. 822’825, Aug. 2000. [3] D. Essay Support. Agrawal and R. Srikant, ‘Privacy-preserving data mining,’ in Proc. ACM SIGMOD. [4] Y. Lindell and B. Pinkas, ‘Privacy preserving data mining,’ in leeds, Lecture Notes in Computer Science. Berlin, Germany: Springer-Verlag, 2000, vol.

1880, pp. 36’44. [5] N. Zhang, S. Wang, and W. Zhao, ‘A new scheme on privacy-preserving data classification,’ in Proc. ACM SIGKDD Int. 1500 Word Equals. Conf. Knowl. Binders Leeds. Disc. Data Mining, 2005.

[6] G. Jagannathan and R. N. Wright, ‘Privacy-preserving distributed k-means clustering over arbitrarily partitioned data,’ in Proc. ACM. [7] O. Goldreich, Foundations of part time, Cryptography. Cambridge Univ. Press, 2001. [8] R. Wright and Z. Yang, ‘Privacy-preserving Bayesian network structure computation on distributed heterogeneous data,’ in Proc. Dissertation. 10th ACM SIGKDD. [9] H. Yu, X. Jiang, and citing J. Dissertation Binders Leeds. Vaidya, ‘Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data,’ in Proc. Annu.

ACM Symp. Appl. Word Essay Pages. Comput., 2006. [10] A. Leeds. C. Yao, ‘Protocols for secure computations,’ in Proc. 23rd Annu. Symp. Found. Comput. Sci., Chicago, IL, Nov. 1982. [11] M. Barni, C. Orlandi, and A. Piva, ‘A privacy-preserving protocol for citing neural-network-based computation,’ in Proc.

8th Workshop Multimedia Security, New York, 2006. [12] A. Yao, ‘How to generate and exchange secrets,’ in Proc. 27th IEEE Symp. Found. Binders. Comput. Sci., 1986, pp. 162’167. [13] L.Wan, W. K. Ng, S. Han, and V. Essays In Education. C. S. Lee, ‘Privacy-preservation for gradient descent methods,’ in Proc. IEEE Transactions on Knowlede and Data Engineering, 2010. Search our thousands of essays:

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