Marketing Research Data Classification by Means of Machine Learning Methods

Kód výsledku v 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>
Výsledek na webu
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DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Marketing Research Data Classification by Means of Machine Learning Methods
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Marketing Research Data Classification by Means of Machine Learning Methods
Popis výsledku anglicky
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.

Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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