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Description
  • Feature selection serves for both reduction of the total amount of available data (removing of valueless data) and improvement of the whole behavior of a given induction algorithm (removing data that cause deterioration of the results). A method of proper selection of features for an inductive algorithm is discussed. The main idea consists in proper descending ordering of features according to a measure of new information contributing to previous valuable set of features. The measure is based on comparing of statistical distributions of individual features including mutual correlation. A mathematical theory of the approach is described. Results of the method applied to real-life data are shown.
  • Feature selection serves for both reduction of the total amount of available data (removing of valueless data) and improvement of the whole behavior of a given induction algorithm (removing data that cause deterioration of the results). A method of proper selection of features for an inductive algorithm is discussed. The main idea consists in proper descending ordering of features according to a measure of new information contributing to previous valuable set of features. The measure is based on comparing of statistical distributions of individual features including mutual correlation. A mathematical theory of the approach is described. Results of the method applied to real-life data are shown. (en)
Title
  • Feature Selection by Reordering
  • Feature Selection by Reordering (en)
skos:prefLabel
  • Feature Selection by Reordering
  • Feature Selection by Reordering (en)
skos:notation
  • RIV/67985807:_____/05:00339941!RIV10-MSM-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LN00B096), 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
  • 521475
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/05:00339941
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • feature selection; reordering; mutual corelation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FBACBD070DC2]
http://linked.open...v/mistoKonaniAkce
  • Liptovský Ján
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • SOFSEM 2005: Theory and Practice of Computer Science
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
  • Jiřina jr., M.
  • Jiřina, Marcel
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000228554400045
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 3-540-24302-X
is http://linked.open...avai/riv/vysledek of
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