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  • Many of these computations have matrix character. Although amount of memory in computers grows very rapidly, there are still matrices that are bigger than available memory. But many of these matrices are sparse, so that storage only non-zero values can solve the problem. Special case of sparse matrices are binary sparse matrices i.e. matrices where only binary values 0 and 1 are allowed. Large sparse binary matrices play important role in computer science, and in many modern information retrieval methods. These methods, such as clustering, web graph computations, web link analysis [6], binary factor analysis [7] performs huge number of computations with such matrices, thus their implementation should be very carefully designed.
  • Many of these computations have matrix character. Although amount of memory in computers grows very rapidly, there are still matrices that are bigger than available memory. But many of these matrices are sparse, so that storage only non-zero values can solve the problem. Special case of sparse matrices are binary sparse matrices i.e. matrices where only binary values 0 and 1 are allowed. Large sparse binary matrices play important role in computer science, and in many modern information retrieval methods. These methods, such as clustering, web graph computations, web link analysis [6], binary factor analysis [7] performs huge number of computations with such matrices, thus their implementation should be very carefully designed. (en)
  • Many of these computations have matrix character. Although amount of memory in computers grows very rapidly, there are still matrices that are bigger than available memory. But many of these matrices are sparse, so that storage only non-zero values can solve the problem. Special case of sparse matrices are binary sparse matrices i.e. matrices where only binary values 0 and 1 are allowed. Large sparse binary matrices play important role in computer science, and in many modern information retrieval methods. These methods, such as clustering, web graph computations, web link analysis [6], binary factor analysis [7] performs huge number of computations with such matrices, thus their implementation should be very carefully designed. (cs)
Title
  • Sparse binary matrices
  • Sparse binary matrices (en)
  • Sparse binary matrices (cs)
skos:prefLabel
  • Sparse binary matrices
  • Sparse binary matrices (en)
  • Sparse binary matrices (cs)
skos:notation
  • RIV/61989100:27240/05:00012186!RIV06-GA0-27240___
http://linked.open.../vavai/riv/strany
  • 103-116
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP201/05/P145)
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
  • 543773
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/05:00012186
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • web link analysis [6]; binary factor analysis [7] performs huge number of computations (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [70F225A18E3B]
http://linked.open...v/mistoKonaniAkce
  • Ráčkova Dolina
http://linked.open...i/riv/mistoVydani
  • Košice
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  • ITAT 2005
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dvorský, Jiří
  • Martinovič, Jan
  • Snášel, Václav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Univerzita P. J. Šafárika v Košiciach
https://schema.org/isbn
  • 80-7097-609-8
http://localhost/t...ganizacniJednotka
  • 27240
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