An algorithm of incremental mining implicative logical rules is pro-posed. This algorithm is based on constructing good classification tests. The in-cremental approach to constructing these rules allows revealing the interde-pendence between two fundamental components of human thinking: pattern recognition and knowledge acquisition.
Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:26890 |
Date | 28 May 2013 |
Creators | Naidenova, Xenia, Parkhomenko, Vladimir |
Publisher | Technische Universität Dresden |
Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
Language | English |
Detected Language | English |
Type | doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
Source | Cellier, Peggy, Distel, Felix und Ganter, Bernhard (Hrsg.): Contributions to the 11th International Conference on Formal Concept Analysis, 2013, S. 51-64 |
Rights | info:eu-repo/semantics/openAccess |
Relation | urn:nbn:de:bsz:14-qucosa-113094, qucosa:26885 |
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