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Marketing Research Data Classification by Means of Machine Learning Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F13%3A00202844" target="_blank" >RIV/62156489:43110/13:00202844 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Marketing Research Data Classification by Means of Machine Learning Methods

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Recent Advances in Information Science

  • ISBN

    978-960-474-304-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    345-350

  • Publisher name

    WSEAS Press

  • Place of publication

    Dubrovník, Chorvatsko

  • Event location

    Dubrovník

  • Event date

    Jun 25, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article