Does privacy really exist in Social Networking? Abstract The growth of information technology provided many benefits to this society. Due to the technological advancement‚ the cost of communication has practically become zero. The social network is one of the outcomes of development in communication technologies. Like any other invention‚ the social networking comes with both advantages and disadvantages‚ however the current privacy policies of social networking appears to be a threat for users
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International Journal of Computer Applications (0975 – 8887) Volume 41– No.5‚ March 2012 Data Mining Application in Enrollment Management: A Case Study Surjeet Kumar Yadav Saurabh pal Research scholar‚ Shri Venkateshwara University‚ J. P. Nagar‚ (U.P.) India Head‚ Dept. of MCA VBS Purvanchal University‚ Jaunpur‚ India ABSTRACT In the last two decades‚ number of Higher Education Institutions (HEI) grows rapidly in India. This causes a cut throat competition among these institutions
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1985 and today owns more than three dozen Applebee’s restaurants. In 1986‚ the name of the concept was changed to Applebee’s Neighborhood Grill & Bar to reflect the Palmers’ original concept of a place people could call their own. In 1988‚ Applebee’s International‚ Inc. became the restaurant chain’s franchiser when Kansas City franchisees Abe Gustin and John Hamra purchased the rights to the Applebee’s concept from W. R. Grace. From 1993 to 2005‚ Applebee’s opened 100 or more new restaurants each
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with Data Mining Abstract Banking and finance institutions are growing very fast in this globalization era. Mergers‚ acquisitions‚ globalization have made these institutions bigger. No doubt‚ the data also grow real huge and more varied. Big data storage such as data warehouse and data marts are provided to give a solution on big data storage. On the other sides‚ those data are needed to be analyzed. Business intelligence finally comes in as a solution in analyzing those huge data. Business
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Recommended Systems using Collaborative Filtering and Classification Algorithms in Data Mining Dhwani Shah 2008A7PS097G Mentor – Mrs. Shubhangi Gawali BITSC331 2011 1 BITS – Pilani‚ K.K Birla Goa INDEX S. No. 1. 2. 3. 4. 5. 6. 7. 8. 9. Topic Introduction to Recommended Systems Problem Statement Apriori Algorithm Pseudo Code Apriori algorithm Example Classification Classification Techniques k-NN algorithm Determine a good value of k References Page No. 3 5 5 7 14 16 19 24 26 2
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Terrorism is “The use of violent acts to frighten the people in an area as a way of trying to achieve a political goal” (merriam-webster.com). Terrorist attacks obtain international attention by targeting specific locations which demonstrate their disagreement on distinct situations both social and political. This acts kill innocent civilians in the pursuit of political or ideological goals. (terrorism-research.com) The first terrorist attack ever reported took place in the 14th century by the
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Privacy is a very important issue to Internet users. Fear of disclosure of personal information about an individual has prevented many from using the Internet. According to a 2000 U.S. News & World Report survey‚ 86% of Internet users fear that continued use of the Web threatens their privacy. Private information‚ in the wrong hands‚ can cause a great deal of harm to the individuals concerned. There are several issues related to the Internet and privacy that raise concerns for many users. The users
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Project Proposal Statistical Learning and Data Mining Overview: Efficient asset allocation through statistical learning methods and comparison of methods for the creation of an index tracking ETF (Exchange traded fund) Datasets: The datasets are chosen from the website of the book “Statistics and Data Analysis for Financial Engineering” by David Ruppert. The book is mentioned as one of the references for this course. The two data sets chosen are 1. Stock_FX_Bond.csv 2. Stock_FX_Bond_2004_to_2006
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Page Number Introduction 2 Ethical Issues 2-3 Legal Issues 3-7 Social Issues 7-8 Professional Issues 8-9 Recommendation 9-10 Conclusion 11 References 12 Introduction Privacy Issus in social networking sites have become a controversial and much publicised topic since the creation and increasing popularity of social networking sites such as Linkdin‚ Twitter and the currently most used social networking site‚ Facebook. Such as
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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining by Tan‚ Steinbach‚ Kumar © Tan‚Steinbach‚ Kumar Introduction to Data Mining 4/18/2004 1 Why Mine Data? Commercial Viewpoint O Lots of data is being collected and warehoused – Web data‚ e-commerce – purchases at department/ grocery stores – Bank/Credit Card transactions O Computers have become cheaper and more powerful O Competitive Pressure is Strong – Provide better‚ customized services for an edge (e.g
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