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  • The paper deals with quality measures of whole sets of rules extracted from data, as a counterpart to more commonly used measures of individual rules. It sketches the typology of rules extraction methods and of their rulesets, and recalls that quality measures for whole sets of rules have been so far used only in the case of classification rulesets. Then three particular approaches to extending ruleset quality measures from classification to general rulesets are discussed. The paper also recalls the possibility to measure the dependence of classification rulesets on parameters of the classification method by means of ROC curves, and proposes a generalization of ROC curves to general rulesets. Finally, the approach is illustrated on rulesets extracted with four important rules extraction methods from the well-known iris data.
  • The paper deals with quality measures of whole sets of rules extracted from data, as a counterpart to more commonly used measures of individual rules. It sketches the typology of rules extraction methods and of their rulesets, and recalls that quality measures for whole sets of rules have been so far used only in the case of classification rulesets. Then three particular approaches to extending ruleset quality measures from classification to general rulesets are discussed. The paper also recalls the possibility to measure the dependence of classification rulesets on parameters of the classification method by means of ROC curves, and proposes a generalization of ROC curves to general rulesets. Finally, the approach is illustrated on rulesets extracted with four important rules extraction methods from the well-known iris data. (en)
Title
  • Measures of Ruleset Quality for General Rules Extraction Methods
  • Measures of Ruleset Quality for General Rules Extraction Methods (en)
skos:prefLabel
  • Measures of Ruleset Quality for General Rules Extraction Methods
  • Measures of Ruleset Quality for General Rules Extraction Methods (en)
skos:notation
  • RIV/67985807:_____/09:00323363!RIV10-AV0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/08/0802), Z(AV0Z10300504)
http://linked.open...iv/cisloPeriodika
  • 6
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
  • 325106
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/09:00323363
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • rules extraction from data; quality measures; ruleset measures; ROC curves; observational logic; fuzzy logic (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [047A639E1DB3]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Approximate Reasoning
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...v/svazekPeriodika
  • 50
http://linked.open...iv/tvurceVysledku
  • Holeňa, Martin
http://linked.open...ain/vavai/riv/wos
  • 000267232200005
http://linked.open...n/vavai/riv/zamer
issn
  • 0888-613X
number of pages
is http://linked.open...avai/riv/vysledek of
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