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On the Road to Genetic Boolean Matrix Factorization
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SYSNO ASEP 0313059 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title On the Road to Genetic Boolean Matrix Factorization Title O přístupu ke genetickému Booleovskému maticovému rozkladu Author(s) Snášel, V. (CZ)
Platoš, J. (CZ)
Krömer, P. (CZ)
Húsek, Dušan (UIVT-O) RID, SAI, ORCID
Frolov, A. (RU)Source Title Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552
Roč. 17, č. 6 (2007), s. 675-688Number of pages 14 s. Language eng - English Country CZ - Czech Republic Keywords data mining ; genetic algorithms ; Boolean factorization ; binary data ; machine learning ; feature extraction Subject RIV IN - Informatics, Computer Science CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000253142500011 EID SCOPUS 39049086604 Annotation Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for factorization of real data but many application areas including information retrieval, pattern recognition and data mining require processing of binary rather than real data. Unfortunately, the methods used for real matrix factorization fail in the latter case. In this paper we introduce background and initial version of Genetic Algorithm for binary matrix factorization. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2009
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