Data and information visualization: Difference between revisions

Revision as of 14:11, 5 December 2008

Revision as of 19:10, 14 December 2008

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[[Data mining]] is the process of [[sorting]] through large amounts of data and picking out relevant information. It is usually used by [[business intelligence]] organizations, and [[financial analyst]]s, but is increasingly being used in the sciences to extract information from the enormous [[data set]]s generated by modern experimental and observational methods.

It has been described as "the nontrivial extraction of implicit, previously unknown, and potentially useful [[information]] from [[data]]"<ref>{{cite journal |author=W. Frawley and G. Piatetsky-Shapiro and C. Matheus |title=Knowledge Discovery in Databases: An Overview |journal=AI Magazine |date=Fall 1992 |pages=pp. 213–228 |id={{ISSN|0738-4602}}}}</ref> and "the science of extracting useful information from large [[data set]]s or [[database]]s."<ref>{{cite book |author=D. Hand, H. Mannila, P. Smyth |title=Principles of Data Mining |publisher=MIT Press, Cambridge, MA |year=2001 |idisbn=ISBN 0-262-08290-X}}</ref> Data mining in relation to [[enterprise resource planning]] is the statistical and logical analysis of large sets of transaction data, looking for patterns that can aid decision making.<ref> {{cite book |author=Ellen Monk, Bret Wagner |title=Concepts in Enterprise Resource Planning, Second Edition |publisher=Thomson Course Technology, Boston, MA |year=2006 |idisbn=ISBN 0-619-21663-8}}</ref>

== See also ==