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Description
  • The contribution deals with problems of marketing research data classification by means of machine learning methods. Three basic methods were described and used, classification with the aid of zeroR method, classification with the aid of decision tree J48 and classification with the aid of PART method. Finally, applicability of these algorithms is compared. After this row analysis the paper closely focused on the best results. This case study was applied over the data from a survey about consumer behavior in the food market in the Czech Republic.
  • The contribution deals with problems of marketing research data classification by means of machine learning methods. Three basic methods were described and used, classification with the aid of zeroR method, classification with the aid of decision tree J48 and classification with the aid of PART method. Finally, applicability of these algorithms is compared. After this row analysis the paper closely focused on the best results. This case study was applied over the data from a survey about consumer behavior in the food market in the Czech Republic. (en)
Title
  • Marketing Research Data Classification by Means of Machine Learning Methods
  • Marketing Research Data Classification by Means of Machine Learning Methods (en)
skos:prefLabel
  • Marketing Research Data Classification by Means of Machine Learning Methods
  • Marketing Research Data Classification by Means of Machine Learning Methods (en)
skos:notation
  • RIV/62156489:43110/13:00202844!RIV14-MSM-43110___
http://linked.open...avai/riv/aktivita
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  • Z(MSM6215648904)
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  • 86415
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43110/13:00202844
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  • consumer behavior; decision rule PART; decision tree J48; classification; zeroR method (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0DCFDBF15433]
http://linked.open...v/mistoKonaniAkce
  • Dubrovník
http://linked.open...i/riv/mistoVydani
  • Dubrovník, Chorvatsko
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  • Recent Advances in Information Science
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http://linked.open...iv/tvurceVysledku
  • Motyčka, Arnošt
  • Turčínek, Pavel
  • Šťastný, Jiří
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http://linked.open...n/vavai/riv/zamer
number of pages
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  • WSEAS Press
https://schema.org/isbn
  • 978-960-474-304-9
http://localhost/t...ganizacniJednotka
  • 43110
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