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Data Mining In Library

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... that data mining cannot be done in their existing data warehouse engine. They accept that data mining is a useful Works: Volume 15, May 2003 (TDWI Research) Zaima, Arlene; Data Mining Marketing Manager, Teradata, a division of NCR; The Five Myths of Data Mining; What Works: truth data mining has many steps including defining the business problem, then exploring and conditioning data, then analysis" (Chopoorian et al. 45). Data warehousing and mining data from those warehouses is cost effective, takes less Usefulness of Data mining: One of the important by products from data warehousing is data mining. This is a powerful analytical method to enable ...



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Sources list for DATA MINING IN LIBRARY:

Frawley W. J., Piatetsky-Shapiro G., Smyth P. (1996). From Data Mining to Knowledge Discovery: An Overview", In: Advances in Knowledge Discovery and Data Mining, Frawley et al (Eds.), MIT Press.
Feature Selection in Knowledge Discovery and Databases (KDD)

Torval Jans; Data Mining Technologies and Advancements; Journal of Data Statistics; 1998 Vol. 7 Spring
Data Mining

John Roddick & Fule Peter, "Detecting Privacy and Ethical Sensitivity in Data Mining Results"; ACM International Conference Proceeding Series, Dunedin, New Zealand, 2004, pg 160
Data Mining

John Roddick & Fule Peter, "Detecting Privacy and Ethical Sensitivity in Data Mining Results"; ACM International Conference Proceeding Series, Dunedin, New Zealand, 2004, pg 159
Data Mining

Mannila Heikki, "Theoretical Frameworks for Data Mining"; ACM SIGKDD Explorations Newsletter, Volume 1 , Issue 2 (January 2000)
Data Mining

 

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