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Description
  • Cílem článku je poskytnout informaci o tvorbě modelu, zaměřeného na klasifikaci obcí. Model byl vytvořen pomocí rozhodovacích stromů v programu Clementine. Modely byly navrženy s využitím algoritmu C5.0 a C&RT. Výsledky klasifikace byly porovnány. Návrhu klasifikačního modelu předcházelo využití vybraných metod shlukové analýzy (nehierchických s pevným a proměnným počtem shluků) a Kohonenových map. (cs)
  • The goal of this paper is to give information about a creation of municipalities? classification model. This model was created by means of a decision trees in program Clementine. Models of decision trees were realized by Classification & Regression Trees and the C5.0. Results of municipalities? classification models were compared. A cluster analysis was realized before the creation of municipalities? classification model. By clustering classic nonhierarchical cluster methods and Kohonen maps were used.
  • The goal of this paper is to give information about a creation of municipalities? classification model. This model was created by means of a decision trees in program Clementine. Models of decision trees were realized by Classification & Regression Trees and the C5.0. Results of municipalities? classification models were compared. A cluster analysis was realized before the creation of municipalities? classification model. By clustering classic nonhierarchical cluster methods and Kohonen maps were used. (en)
Title
  • The Model of Municipalities? Classification by Using of Decision Trees
  • The Model of Municipalities? Classification by Using of Decision Trees (en)
  • Model klasifikace obcí s využitím rozhodovacích stromů (cs)
skos:prefLabel
  • The Model of Municipalities? Classification by Using of Decision Trees
  • The Model of Municipalities? Classification by Using of Decision Trees (en)
  • Model klasifikace obcí s využitím rozhodovacích stromů (cs)
skos:notation
  • RIV/00216275:25410/06:00005642!RIV08-MSM-25410___
http://linked.open.../vavai/riv/strany
  • 704-711
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • 4
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
  • 486100
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25410/06:00005642
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • municipalities; decision tree; model; cluster analysis; neural nets; clustering (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GR - Řecká republika
http://linked.open...ontrolniKodProRIV
  • [69C0135FAA6B]
http://linked.open...i/riv/nazevZdroje
  • WSEAS Transactions on Information Science and Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 1
http://linked.open...iv/tvurceVysledku
  • Kašparová, Miloslava
  • Petr, Pavel
issn
  • 1790-0832
number of pages
http://localhost/t...ganizacniJednotka
  • 25410
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