Evolving Classifiers - Evolutionary Algorithms in Data Mining
dc.date.accessioned | 2007-09-28T10:09:30Z | |
dc.date.available | 2007-09-28T10:09:30Z | |
dc.date.issued | 2007-09-28T10:09:30Z | |
dc.identifier.uri | urn:nbn:de:hebis:34-2007092819260 | |
dc.identifier.uri | http://hdl.handle.net/123456789/2007092819260 | |
dc.format.extent | 362330 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.rights | Urheberrechtlich geschützt | |
dc.rights.uri | https://rightsstatements.org/page/InC/1.0/ | |
dc.subject | Evolutionary Computation | eng |
dc.subject | Data Mining | eng |
dc.subject | Data-Mining-Cup | eng |
dc.subject | DMC 2007 | eng |
dc.subject | Evolutionary Algorithm | eng |
dc.subject | Genetic Algorithm | eng |
dc.subject | Learning Classifier System | eng |
dc.subject | Classifier System | eng |
dc.subject.ddc | 004 | |
dc.title | Evolving Classifiers - Evolutionary Algorithms in Data Mining | eng |
dc.type | Technischer Report | |
dcterms.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. | eng |
dcterms.accessRights | open access | |
dcterms.creator | Weise, Thomas | |
dcterms.creator | Achler, Stefan | |
dcterms.creator | Göb, Martin | |
dcterms.creator | Voigtmann, Christian | |
dcterms.creator | Zapf, Michael | |
dcterms.isPartOf | Kasseler Informatikschriften ;; 2007, 4 | ger |
dc.description.everything | Data-Mining-Cup 2007 | eng |
dc.subject.ccs | G.3 | |
dc.subject.ccs | I.2.4 | |
dc.subject.ccs | I.2.6 | |
dc.subject.ccs | I.5.0 | |
dc.subject.ccs | J.1 | |
dcterms.source.series | Kasseler Informatikschriften | ger |
dcterms.source.volume | 2007, 4 | ger |