| dc.contributor.author | Snášel, Václav | |
| dc.contributor.author | Platoš, Jan | |
| dc.contributor.author | Krömer, Pavel | |
| dc.contributor.author | Húsek, Dušan | |
| dc.contributor.author | Frolov, Alexander A. | |
| dc.date.accessioned | 2008-03-03T09:45:18Z | |
| dc.date.available | 2008-03-03T09:45:18Z | |
| dc.date.issued | 2007 | |
| dc.identifier.citation | Neural Network World. 2007, vol. 17, issue 6, p. 675-688. | en |
| dc.identifier.issn | 1210-0552 | |
| dc.identifier.uri | http://hdl.handle.net/10084/64945 | |
| dc.description.abstract | 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. | en |
| dc.language.iso | en | en |
| dc.publisher | Akademie věd České republiky, Ústav informatiky | |
| dc.relation.ispartofseries | Neural Network World | en |
| dc.subject | data mining | en |
| dc.subject | genetics algorithms | en |
| dc.subject | Boolean factorization | en |
| dc.subject | binary data | en |
| dc.subject | machine learning | en |
| dc.subject | feature extraction | en |
| dc.title | On the road to genetic Boolean matrix factorization | en |
| dc.type | article | en |
| dc.identifier.location | Není ve fondu ÚK | en |
| dc.identifier.wos | 000253142500011 | |