A Review On Data Mining
Keywords:
Data Mining, Data Warehouse, Information Retrievel.Abstract
When a large amount of data is stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is a process of inferring knowledge from such large data. The main problem related to the retrieval of information from the World Wide Web is the enormous number of unstructured documents and resources, i.e., the difficulty of locating and tracking appropriate sources. In this article, a survey of research in the area of web mining environment generator that allows the enormous number of unstructured documents and resources, i.e., the difficulty of locating and tracking appropriate sources. In this article, a survey of e research in the area of web mining and suggest web mining categories and techniques. Furthermore, a presentation of a web mining environment generator that allows naive users to generate a web mining environment specific to a given domain by providing a set of specifications.
References
- AssociationForum. (2008, February 19). What is data mining?. [Video file]. Retrieved July 9, 2013 from http://www.youtube.com/watch?v=wqpMyQMi0to. Permission obtained from the artist/copyright holder. This is a video that describes the use of data mining in managing association memberships. There are many similarities to the use of data mining in university enrollment.
- Chang, L. (2006). Applying data mining to predict college admissions yield: A case study. New Directions for Institutional Research, (131), 53-68. Retrieved June 7, 2013, fromhttp://search.proquest.com/docview/62003337?accountid=14541 This is a journal article that describes the application of a data mining approach to freshman admissions at a large public university. The author is Director of Institutional Research and Analysis at Colorado State University-Pueblo.
- Federal Trade Commission. (2003). Student survey companies settle FTC charges [Press release]. Retrieved June 7, 2013 from http://www.ftc.gov/opa/2003/01/ecra.shtm This is a press release that summarizes the settlement of a lawsuit between the FTC and two companies that were collecting and selling student data.
- Jones, T., &Vaiciulis, A. (2007). Data mining, predictive modeling, and recruiting targets. College and University, 82(2), 47-49. Retrieved June 7, 2013, from http://search.proquest.com/docview/225611369?accountid=14541 This is a journal article that describes a data mining approach used in the graduate admissions process at the University of Central Florida. Jones is Executive Director for Graduate Studies at the University of Central Florida; Vaiciulis is a Master’s student in the Data Mining Program at the University of Central Florida.
- Lingrell, S. (2012). Getting it right: Data and good decisions.In B. Bontrager, D.Ingersoll & R. Ingersoll (Eds.), Strategic enrollment management: Transforming higher education (pp.155-171). Washington, DC: American Association of Collegiate Registrars and Admissions Officers. This is a chapter from a book on Strategic Enrollment Management. It describes the importance of good data. The author is Vice President for Student Affairs and Enrollment Management at the University of West Georgia.
- Loren, J. (2011, May 27). SAT test demanding teen information prompts regulator query. Retrieved June 7, 2013, from http://www.bloomberg.com/news/2011-05-26/sat-test-owner-to-face-query-on-teen-privacy-from-lawmakers.html This is an article that describes an inquiry by two U.S. Representatives into how ACT Inc. and the College Board collect, store and sell the data from their test-takers.
- Microsoft. (n.d.). A college campus. [Clip art]. Retrieved July 9, 2013 from Microsoft Office 2010 Clip Art collection at http://office.microsoft.com/en-us/images/?CTT=6&ver=14&app=winword.exel This is clip art of a college campus since the subject of the paper concerns enrollment at colleges.
- Microsoft. (n.d.). Businesspeople gathered around a computer. [Clip art]. Retrieved July 9, 2013 from Microsoft Office 2010 Clip Art collection at http://office.microsoft.com/en-us/images/?CTT=6&ver=14&app=winword.exel This is clip art of people studying information on a computer screen. It is used to illustrate how analysts would study the results of data mining.
- Microsoft. (n.d.). Female students on school steps. [Clip art]. Retrieved July 9, 2013 from Microsoft Office 2010 Clip Art collection at http://office.microsoft.com/en-us/images/?CTT=6&ver=14&app=winword.exel This is clip art of female college students on a college campus. Since this paper is about enrollment management this image shows some enrolled students.
- Patel, P., Thompson, W. & Stephens, C. (2010, June). Data mining 101: How to reveal new insights in existing data to improve performance [White paper]. Cary, NC: SAS Institute Inc. This is a white paper published by the SAS Institute Inc. that describes the methodology used in their data mining product Enterprise Miner. Patel is a Global Marketing Manager; Thompson is an Analytics Product Manager; Stephens is a Product Manager.
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