Abstract
Based on an overview on recent contributions with respect to data mining applications terms like “data mining”, “data warehousing” and “knowledge discovery in databases” are related to the well-known discussion where “data analysis” and “decision support” are combined with “expert knowledge research”. Next, commercial data mining tools are compared with the help of positioning and segmentation procedures to get a feeling for the support provided by software tailored for performing tasks concerning knowledge discovery in databases. Finally, an own modification of an association rule algorithm is used to handle buying histories in the area of consumer behavior interpretation.
This paper is partly based on an invited talk presented at the workshop “Data Mining and Knowledge Discovery in Business Applications”, Osaka, Japan, September 1998, by the first author.
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Gaul, W., Schader, M. (1999). Data Mining: A New Label for an Old Problem?. In: Gaul, W., Schader, M. (eds) Mathematische Methoden der Wirtschaftswissenschaften. Physica, Heidelberg. https://doi.org/10.1007/978-3-662-12433-8_1
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DOI: https://doi.org/10.1007/978-3-662-12433-8_1
Publisher Name: Physica, Heidelberg
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