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Problems With Data Mining

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... 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 data mining. They are also concerned about the added costs for data mining, and maybe the length of time that each 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 ...



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Sources list for PROBLEMS WITH DATA MINING:

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

Mannila Heikki, "Theoretical Frameworks for Data Mining"; ACM SIGKDD Explorations Newsletter, Volume 1 , Issue 2 (January 2000)
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 161
Data Mining

Fayyad Usama, "Data Mining: The Next ten years"; ACM SIGKDD Explorations Newsletter, Volume 5, Issue 2 (December 2003), pg 191
Data Mining

 


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..:: Papers on
Problems With Data Mining
Data Mining
An exploration of the tools and equipment used in data mining. -- 3,476 words; 12 sources; MLA
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Data Mining
The paper is about data mining, which is the process of finding trends and patterns in data, often within a database. -- 3,546 words; 10 sources; MLA
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Data Mining
An overview of the security issues surrounding data mining. -- 900 words; 4 sources;
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Data Mining
Examines the benefits of data mining to an organization. -- 3,397 words; 5 sources; MLA
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Data and Text Mining
A discussion on how data and text mining tools are revitalizing the librarian profession. -- 4,555 words; 30 sources; MLA
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