About: Discovery of optimal factors in binary data via a novel method of matrix decomposition     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • We present a novel method of decomposition of an n xm binary matrix I into a Boolean product A ? B of an n x k binary matrix A and a k x m binary matrix B with k as small as possible. Attempts to solve this problem are known from Boolean factor analysis where I is interpreted as an object?attribute matrix, A and B are interpreted as object?factor and factor?attribute matrices, and the aim is to find a decomposition with a small number k of factors. The method presented here is based on a theorem proved in this paper. It says that optimal decompositions, i.e. those with the least number of factors possible, are those where factors are formal concepts in the sense of formal concept analysis. Finding an optimal decomposition is an NP-hard problem. However, we present an approximation algorithm for finding optimal decompositions which is based on the insight provided by the theorem.
  • We present a novel method of decomposition of an n xm binary matrix I into a Boolean product A ? B of an n x k binary matrix A and a k x m binary matrix B with k as small as possible. Attempts to solve this problem are known from Boolean factor analysis where I is interpreted as an object?attribute matrix, A and B are interpreted as object?factor and factor?attribute matrices, and the aim is to find a decomposition with a small number k of factors. The method presented here is based on a theorem proved in this paper. It says that optimal decompositions, i.e. those with the least number of factors possible, are those where factors are formal concepts in the sense of formal concept analysis. Finding an optimal decomposition is an NP-hard problem. However, we present an approximation algorithm for finding optimal decompositions which is based on the insight provided by the theorem. (en)
Title
  • Discovery of optimal factors in binary data via a novel method of matrix decomposition
  • Discovery of optimal factors in binary data via a novel method of matrix decomposition (en)
skos:prefLabel
  • Discovery of optimal factors in binary data via a novel method of matrix decomposition
  • Discovery of optimal factors in binary data via a novel method of matrix decomposition (en)
skos:notation
  • RIV/61989592:15310/10:00010968!RIV11-MSM-15310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6198959214)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 254588
http://linked.open...ai/riv/idVysledku
  • RIV/61989592:15310/10:00010968
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Binary matrix decomposition, Factor analysis, Binary data, Formal concept analysis, Concept lattice (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [478C8C332D62]
http://linked.open...i/riv/nazevZdroje
  • Journal of Computer and System Sciences
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 76
http://linked.open...iv/tvurceVysledku
  • Bělohlávek, Radim
  • Vychodil, Vilém
http://linked.open...n/vavai/riv/zamer
issn
  • 0888-613X
number of pages
http://localhost/t...ganizacniJednotka
  • 15310
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software