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Please use this identifier to cite or link to this item: http://nbn-resolving.de/urn:nbn:de:hebis:34-2007092819260

Title: Evolving Classifiers - Evolutionary Algorithms in Data Mining
Authors: Weise, ThomasAchler, StefanGöb, MartinVoigtmann, ChristianZapf, Michael
???metadata.dc.subject.ddc???: 004 - Informatik (Data processing Computer science)
Issue Date: 28-Sep-2007
Series/Report no.: Kasseler Informatikschriften2007, 4
Abstract: Data mining means to summarize information from large amounts of raw data. It is one of the key technologies in many areas of economy, science, administration and the internet. In this report we introduce an approach for utilizing evolutionary algorithms to breed fuzzy classifier systems. This approach was exercised as part of a structured procedure by the students Achler, Göb and Voigtmann as contribution to the 2006 Data-Mining-Cup contest, yielding encouragingly positive results.
URI: urn:nbn:de:hebis:34-2007092819260
???metadata.dc.description.everything???: Data-Mining-Cup 2007
Appears in Collections:Kasseler Informatikschriften (KIS)

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