Types and forms of knowledge (patterns): subgroup patterns

Authors:
Willi Klösgen
Affiliations:
Principal Researcher, Fraunhofer Institute for Autonomous Intelligent Systems, Sankt Augustin, Germany
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

Statistical findings on subgroups belong to the most popular and simple forms of knowledge we encounter in all domains of science, business, or even daily life. We are told such messages as: the unemployment rate is overproportionally high for young men with low educational level, young poor women are infected with AIDS at a much higher rate than their male counterparts, lung cancer mortality rate has considerably increased for women during the last ten years. In this article, we introduce description languages for subgroups, summarize general pattern classes for subgroup deviations and associations, and compare knowledge expressed by subgroup patterns with other popular knowledge types of KDD.