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Description
  • We show how RAP can be employed to answer questions concerning relations in the database STULONG. RAP is a system of inductive logic programming which is designed to search long first-order frequent patterns and association rules. The STULONG database contains information about atherosclerosis in the population of middle-aged men.We define several types of the background knowledge and outline the influence of their complexity on mining patterns.We describe the found rules and explain their meaning.
  • We show how RAP can be employed to answer questions concerning relations in the database STULONG. RAP is a system of inductive logic programming which is designed to search long first-order frequent patterns and association rules. The STULONG database contains information about atherosclerosis in the population of middle-aged men.We define several types of the background knowledge and outline the influence of their complexity on mining patterns.We describe the found rules and explain their meaning. (en)
  • Popisujeme možnosti využití systému RAP pro hledání zívisloti v databázi STULONG. RAP je systém pro indukci častých vzorů a asociačních pravidel v logice prvního řádu. Databáze stulong obsahuje informace o mužích středního věku trpících aterosklerozou. Analyzujeme několik typů doménových znalostí a uvádíme nalezená pravidla. (cs)
Title
  • Mining first-order frequent patterns in the STULONG database
  • Mining first-order frequent patterns in the STULONG database (en)
  • Dolování prvořádových častých vzorů z databáze STULONG (cs)
skos:prefLabel
  • Mining first-order frequent patterns in the STULONG database
  • Mining first-order frequent patterns in the STULONG database (en)
  • Dolování prvořádových častých vzorů z databáze STULONG (cs)
skos:notation
  • RIV/00216224:14330/04:00010337!RIV08-MSM-14330___
http://linked.open.../vavai/riv/strany
  • 1-6
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 143300003)
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
  • 573730
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/04:00010337
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • frequent patterns; relational data mining; STULONG (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E57F98C73DF2]
http://linked.open...v/mistoKonaniAkce
  • Pisa
http://linked.open...i/riv/mistoVydani
  • Pisa (Italy)
http://linked.open...i/riv/nazevZdroje
  • Proceedings of ECML/PKDD Discovery Challenge 2004
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Blaťák, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of Pisa
http://localhost/t...ganizacniJednotka
  • 14330
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