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Data Mining In Library

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... truth data mining has many steps including defining the business problem, then exploring and conditioning data, then 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: Usefulness of Data mining: One of the important by products from data warehousing is data mining. This is a powerful analytical method to enable that data mining cannot be done in their existing data warehouse engine. They accept that data mining is a useful analysis" (Chopoorian et al. 45). Data warehousing and mining data from those warehouses is cost effective, takes less ...



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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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