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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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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
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e-ISSN
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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
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