%0 Report %1 WAGVZ2007DMC %A Weise, Thomas %A Achler, Stefan %A Göb, Martin %A Voigtmann, Christian %A Zapf, Michael %C University of Kassel %D 2007 %I University of Kassel %K 2007, Algorithm, Classifier Computation, DMC Data Data-Mining-Cup, Evolutionary Genetic Learning Mining, System System, %N 2007, 4 %P 1--20 %T Evolving Classifiers -- Evolutionary Algorithms in Data Mining %U http://kobra.bibliothek.uni-kassel.de/handle/urn:nbn:de:hebis:34-2007092819260 %V 2007 %X Data mining means to summarise 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 using evolutionary algorithms to breed fuzzy classifier systems. This approach was exercised as part of a structured procedure by the students Achler, G\"�b, and Voigtmann as contribution to the 2006 Data-Mining-Cup contest, yielding encouragingly positive results.

@techreport{WAGVZ2007DMC, abstract = {Data mining means to summarise 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 using evolutionary algorithms to breed fuzzy classifier systems. This approach was exercised as part of a structured procedure by the students Achler, G{\"�}b, and Voigtmann as contribution to the 2006 Data-Mining-Cup contest, yielding encouragingly positive results.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {University of Kassel}, affiliation = {University of Kassel, FB-16, Distributed Systems Group, Wilhelmsh{\"o}her Allee 73, 34121 Kassel, Germany}, author = {Weise, Thomas and Achler, Stefan and G{\"{o}}b, Martin and Voigtmann, Christian and Zapf, Michael}, biburl = {https://www.bibsonomy.org/bibtex/2f9c8150b04024677b996a1d99c518fec/brazovayeye}, contents = {* Introduction\\* Data Mining\\* Related Work\\- Evolutionary Algorithms\\- Genetic Algorithms\\- Learning Classifier Systems\\* A Structured Approach to Data Mining\\* Applying the Structured Approach\\- The Problem Definition\\- Initial Analysis\\- Analysis of the Evolutionary Process\\- Contest Results and Placement\\* Conclusion and Future Work\\* References}, howpublished = {online}, institution = {University of Kassel}, interhash = {8431b11ab098e92f2d2a39aa60aba661}, intrahash = {f9c8150b04024677b996a1d99c518fec}, keywords = {2007, Algorithm, Classifier Computation, DMC Data Data-Mining-Cup, Evolutionary Genetic Learning Mining, System System,}, language = {en}, location = {University of Kassel}, month = {September~28,}, notes = {Persistent Identifier: urn:nbn:de:hebis:34-2007092819260}, number = {2007, 4}, organization = {University of Kassel}, pages = {1--20}, publisher = {University of Kassel}, school = {University of Kassel}, timestamp = {2008-06-19T17:54:00.000+0200}, title = {Evolving Classifiers -- Evolutionary Algorithms in Data Mining}, type = {Kasseler Informatikschriften (KIS)}, url = {http://kobra.bibliothek.uni-kassel.de/handle/urn:nbn:de:hebis:34-2007092819260}, volume = 2007, year = 2007 }