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Description
  • The paper presents a new machine learning method of decision tree induction based on formal concept analysis (FCA). FCA is a data mining technique the output of which is a hierarchical structure of clusters extracted from data describing objects by attributes. The decision tree is derived using the structure of clusters (called concept lattice). The idea behind is to look at a concept lattice as a collection of overlapping trees. The main purpose of the paper is to explore the possibility of using FCA in the problem of decision tree induction. We present our method and provide comparisons with selected methods of decision tree induction and machine learning on testing datasets.
  • The paper presents a new machine learning method of decision tree induction based on formal concept analysis (FCA). FCA is a data mining technique the output of which is a hierarchical structure of clusters extracted from data describing objects by attributes. The decision tree is derived using the structure of clusters (called concept lattice). The idea behind is to look at a concept lattice as a collection of overlapping trees. The main purpose of the paper is to explore the possibility of using FCA in the problem of decision tree induction. We present our method and provide comparisons with selected methods of decision tree induction and machine learning on testing datasets. (en)
Title
  • Inducing decision trees via concept lattices
  • Inducing decision trees via concept lattices (en)
skos:prefLabel
  • Inducing decision trees via concept lattices
  • Inducing decision trees via concept lattices (en)
skos:notation
  • RIV/61989592:15310/08:00005379!RIV10-MSM-15310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET101370417), P(GA201/05/0079), Z(MSM6198959214)
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
  • 371930
http://linked.open...ai/riv/idVysledku
  • RIV/61989592:15310/08:00005379
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • decision trees; machine learning; concept lattice; formal concept analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [14755733D872]
http://linked.open...i/riv/mistoVydani
  • Wien
http://linked.open...i/riv/nazevZdroje
  • Cybernetics and Systems 2008: Proceedings of the 19th European Meeting on Cybernetics and Systems Research
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
  • Outrata, Jan
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Austrian Society for Cybernetics Studies
https://schema.org/isbn
  • 978-3-85206-175-7
http://localhost/t...ganizacniJednotka
  • 15310
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