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Data Mining Applications in Library and Academic Institutions


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1 The ICFAI Business School - Mumbai, 71, Nirlon Complex, Goregaon (East), Mumbai - 400063, India
     

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Both the Hbrary and educational institutions face the problem of efficiently handling the ever increasing data load. More often than not the computer tools employed for this purpose address only the normal queries to support short term planning and administration issues. However, deep inside the mass of such data remain obscured very interesting patterns and associations between various parameters. The data mining is one recent development in the computer field for the in-depth exploration of the data. It uncovers the hidden information that could be vital for strategic and long term planning. To highlight the essential features of data mining process and to explore its possible application in the library and academic field are the principal aims of this paper.
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  • Adriaans, P; Zantinge, D. Data Mining. 9th Indian reprint. Delhi: Pearson Education, 2003.

  • Barry, M; Linoff, G. Data Mining Techniques for Marketing, Sales and Customer Support. New York: John Wiley & Sons, 1997.

  • Cannavo, S. Think to Win: The Power of Logic in Everyday Life. Mumbai: Magna Publishing Co. Ltd. 2003.

  • Fayyad, U.M; Piatetsky-Shapiro G; Smyth, P; Othurusamy, R. Advances in Knowledge Discovery and Data Mining. Cambridge MA: AAAI Press/MIT Press, 1996

  • Inmon, B. Data Mart does not Equal Data Warehouse. DM Review. May 1998. (http://www.dmreview.com/article_sub.cfm?articleld=608).

  • Kurian, J.C; John, B.M. Mining the Education Domain, http://www.getforme.com/previous 2004/151004_miningtheeducationdomain.htm, (accessed on March 31, 2005).

  • Myers, J.E. Reference Expert: Developing a Computer Expert System for Library Reference Service. Paper presented at the Conference on Advances in IT Applied to Libraries, University of Puerto Rico, Rio Piedras Campus, 8 October 1992.

  • Nicholson, S. The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making. Information Technology and Libraries. Vol.22(4); 2003; p4-9.

  • Patkar, V.N; Iyer, P.V. Determining Priorities for Computerisation in Libraries. Annals of Library Science and Documentation. Vol. 37(3); 1990; pi 10-116.

  • —. Application of GIS in Library Management. Information Studies. Vol. 5(2); 1999; p73-82.

  • —. Information Technology Adoption by Libraries: Opportunities and Barriers. Information Studies. Vol. 6(2); 2000; pl25-140.

  • —. Adaptation to Information Technology Development by Libraries. Information Studies. Vol. 10(4); 2004; p637-648.


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  • Data Mining Applications in Library and Academic Institutions

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Authors

Vivek N. Patkar
The ICFAI Business School - Mumbai, 71, Nirlon Complex, Goregaon (East), Mumbai - 400063, India

Abstract


Both the Hbrary and educational institutions face the problem of efficiently handling the ever increasing data load. More often than not the computer tools employed for this purpose address only the normal queries to support short term planning and administration issues. However, deep inside the mass of such data remain obscured very interesting patterns and associations between various parameters. The data mining is one recent development in the computer field for the in-depth exploration of the data. It uncovers the hidden information that could be vital for strategic and long term planning. To highlight the essential features of data mining process and to explore its possible application in the library and academic field are the principal aims of this paper.

References