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  • In this paper is presented a proposal of genetic algorithm for knowledge discovery process. Data mining (the process of extracting trends or patterns from data) is used in database of bus lines carriers here. The aim is to find link between bus line revenue and significant factors affecting public transport demand. There are many data mining methods used in knowledge discovery in databases. Genetic algorithms belong to the field of evolutionary computation and in special case could be used in data mining. There is shown how to change the basic form of genetic algorithm (representation, operators etc.) to obtain important knowledge about transport demand in the paper.
  • In this paper is presented a proposal of genetic algorithm for knowledge discovery process. Data mining (the process of extracting trends or patterns from data) is used in database of bus lines carriers here. The aim is to find link between bus line revenue and significant factors affecting public transport demand. There are many data mining methods used in knowledge discovery in databases. Genetic algorithms belong to the field of evolutionary computation and in special case could be used in data mining. There is shown how to change the basic form of genetic algorithm (representation, operators etc.) to obtain important knowledge about transport demand in the paper. (en)
  • In this paper is presented a proposal of genetic algorithm for knowledge discovery process. Data mining (the process of extracting trends or patterns from data) is used in database of bus lines carriers here. The aim is to find link between bus line revenue and significant factors affecting public transport demand. There are many data mining methods used in knowledge discovery in databases. Genetic algorithms belong to the field of evolutionary computation and in special case could be used in data mining. There is shown how to change the basic form of genetic algorithm (representation, operators etc.) to obtain important knowledge about transport demand in the paper. (cs)
Title
  • A genetic algorithm-based data mining approach to modeling of public transport demand
  • A genetic algorithm-based data mining approach to modeling of public transport demand (en)
  • Využití genetických algoritmů na bázi data miningu v modelování poptávky po veřejné dopravě (cs)
skos:prefLabel
  • A genetic algorithm-based data mining approach to modeling of public transport demand
  • A genetic algorithm-based data mining approach to modeling of public transport demand (en)
  • Využití genetických algoritmů na bázi data miningu v modelování poptávky po veřejné dopravě (cs)
skos:notation
  • RIV/00216275:25410/04:00001220!RIV08-MSM-25410___
http://linked.open.../vavai/riv/strany
  • 6
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM 254100001)
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
  • 552929
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25410/04:00001220
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • genetic algorithms; public transport demand; data-mining (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [64EA9D8707A9]
http://linked.open...v/mistoKonaniAkce
  • Banská Bystrica, Slovak Republic
http://linked.open...i/riv/mistoVydani
  • Banská Bystrica
http://linked.open...i/riv/nazevZdroje
  • Európske financie - teória, politika a prax
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bartoníček, Tomáš
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
  • Univerzita Mateja Bela v Banskej Bystrici
https://schema.org/isbn
  • 80-8055-968-6
http://localhost/t...ganizacniJednotka
  • 25410
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