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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F07%3A00021219%21RIV11-GA0-27240___
rdf:type
n13:Vysledek skos:Concept
dcterms:description
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. 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.
dcterms:title
On the road to genetic Boolean matrix factorization On the road to genetic Boolean matrix factorization
skos:prefLabel
On the road to genetic Boolean matrix factorization On the road to genetic Boolean matrix factorization
skos:notation
RIV/61989100:27240/07:00021219!RIV11-GA0-27240___
n3:aktivita
n17:Z n17:P
n3:aktivity
P(GA201/05/0079), Z(AV0Z10300504)
n3:cisloPeriodika
6
n3:dodaniDat
n10:2011
n3:domaciTvurceVysledku
n14:9175970 n14:6026877 n14:4347269
n3:druhVysledku
n6:J
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
439428
n3:idVysledku
RIV/61989100:27240/07:00021219
n3:jazykVysledku
n9:eng
n3:klicovaSlova
feature extraction; machine learning; binary data; Boolean factorization; genetics algorithms; data mining
n3:klicoveSlovo
n11:machine%20learning n11:feature%20extraction n11:Boolean%20factorization n11:binary%20data n11:data%20mining n11:genetics%20algorithms
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[080751036260]
n3:nazevZdroje
NEURAL NETWORK WORLD
n3:obor
n18:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
5
n3:projekt
n19:GA201%2F05%2F0079
n3:rokUplatneniVysledku
n10:2007
n3:svazekPeriodika
2007
n3:tvurceVysledku
Snášel, Václav Platoš, Jan Húsek, Dušan Krömer, Pavel Frolov, Alexander
n3:wos
000253142500011
n3:zamer
n4:AV0Z10300504
s:issn
1210-0552
s:numberOfPages
14
n16:organizacniJednotka
27240