Visual Data Mining with ILOG Discovery

Baudel, Thomas and Haible, Bruno and Sander, Georg (2004) Visual Data Mining with ILOG Discovery. In: Graph Drawing 11th International Symposium, GD 2003, September 21-24, 2003 , pp. 502-503(Official URL: http://dx.doi.org/10.1007/978-3-540-24595-7_51).

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Abstract

Data mining deals with the discovery of useful and previously unknown knowledge from large data sets [3]. Traditional data mining tools use a combination of machine learning, statistical analysis, modeling techniques and database technology to find patterns, exceptions and subtle relationships in data. Typical applications include market segmentation, customer profiling, fraud detection, credit risk analysis, and business data development.

Item Type: Conference Paper
Additional Information: 10.1007/978-3-540-24595-7_51
Classifications: M Methods > M.300 Dynamic / Incremental / Online
S Software and Systems > S.999 Others
URI: http://gdea.informatik.uni-koeln.de/id/eprint/483

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