Usage of Data Mining Techniques on Marketing Research Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F12%3A00186913" target="_blank" >RIV/62156489:43110/12:00186913 - 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
Usage of Data Mining Techniques on Marketing Research Data
Original language description
This contribution contains problems of marketing research data classification by means of data mining algorithms. Three basic methods are described, classification with the aid of Multi-layer Perceptron neural network with Back-propagation algorithm, classification with the aid of Bayesian Networks and classification with the aid of Decision Tree. Finally, applicability of these algorithms is compared. These algorithms are applied over the data from a survey about consumer behavior in the food market inthe 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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 11th WSEAS International Conference on Applied Computer and Computational Science (ACACOS '12)
ISBN
978-1-61804-084-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
159-164
Publisher name
WSEAS Press
Place of publication
Rovaniemi, Finland
Event location
Rovaniemi, Finland
Event date
Jan 1, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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