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dc.contributor.authorPetersohn, Helge
dc.date2004-02-01
dc.date.accessioned2018-01-16T08:51:40Z
dc.date.available2018-01-16T08:51:40Z
dc.date.issued2004
dc.identifier.issn1861-8936
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/12392
dc.description.abstractThe ability to combine domain specific knowledge and special knowledge about using mathematical-statistical methods for analyzing big data bases at present time is not wide-spread in science and business.For the near future, an increase in data mining applications can be expected. So, one needs instruments to support non-specialists in using specific knowledege about data mining.In this paper a data mining architecture is introduced. Its main advantage is to offer a systematical scheme for data mining methods. These methods are structured with reference to applications.The data mining application architecture is a decision and structuring support for data mining problems to users, scientists and students.
dc.publisherSpringer
dc.relation.ispartofWirtschaftsinformatik: Vol. 46, No. 1
dc.relation.ispartofseriesWirtschaftsinformatik
dc.subjectApplication Architecture
dc.subjectApplication References
dc.subjectComponents of Architecture
dc.subjectData Mining
dc.subjectData Mining-Methods
dc.subjectData Mining-Process
dc.subjectDecision Support
dc.subjectScenarios of References
dc.titleData-Mining-Anwendungsarchitektur
dc.typeText/Journal Article
mci.reference.pages15-21
gi.identifier.doi10.1007/BF03250992


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