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Description
  • In this paper, we present a novel method for parallelization of an arbitrary depth-first search (DFS in short) algorithm for mining of all FIs. The method is based on the so called reservoir sampling algorithm. The reservoir sampling algorithm in combination with an arbitrary DFS mining algorithm executed on a database sample takes an uniformly but not independently distributed sample of all FIs using the reservoir sampling. The sample is then used for static load-balancing of the computational load of a DFS algorithm for mining of all FIs.
  • In this paper, we present a novel method for parallelization of an arbitrary depth-first search (DFS in short) algorithm for mining of all FIs. The method is based on the so called reservoir sampling algorithm. The reservoir sampling algorithm in combination with an arbitrary DFS mining algorithm executed on a database sample takes an uniformly but not independently distributed sample of all FIs using the reservoir sampling. The sample is then used for static load-balancing of the computational load of a DFS algorithm for mining of all FIs. (en)
Title
  • Static Load Balancing of Parallel Mining of Frequent Itemsets Using Reservoir Sampling
  • Static Load Balancing of Parallel Mining of Frequent Itemsets Using Reservoir Sampling (en)
skos:prefLabel
  • Static Load Balancing of Parallel Mining of Frequent Itemsets Using Reservoir Sampling
  • Static Load Balancing of Parallel Mining of Frequent Itemsets Using Reservoir Sampling (en)
skos:notation
  • RIV/67985807:_____/11:00368102!RIV12-AV0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/10/1333), Z(AV0Z10300504)
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
  • 232175
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/11:00368102
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • frequent itemset mining; parallel algorithms; association rules; approximate counting (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6820ED43A332]
http://linked.open...v/mistoKonaniAkce
  • New York
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Machine Learning and Data Mining in Pattern Recognition
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kessl, Robert
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-23199-5_41
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-23198-8
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