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:bsz:14-qucosa-113159 |
Date | 28 May 2013 |
Creators | Naidenova, Xenia, Parkhomenko, Vladimir |
Contributors | Technische Universität Dresden, Fakultät Mathematik und Naturwissenschaften |
Publisher | Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden |
Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
Language | English |
Detected Language | English |
Type | doc-type:conferenceObject |
Format | application/pdf |
Source | Cellier, Peggy, Distel, Felix und Ganter, Bernhard (Hrsg.): Contributions to the 11th International Conference on Formal Concept Analysis, 2013, S. 51-64 |
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