Usage of data mining techniques on marketing research data

Authors:
Pavel Turcinek;Jiri Stastny;Arnost Motycka
Affiliations:
Department of Informatics, Mendel University in Brno, Brno, Czech Republic;Department of Informatics, Mendel University in Brno, Brno, Czech Republic;Department of Informatics, Mendel University in Brno, Brno, Czech Republic
Venue:
ACACOS'12 Proceedings of the 11th WSEAS international conference on Applied Computer and Applied Computational Science
Year:
2012

Citing 5
Cited 0

Machine learning, neural and statistical classification

Machine learning, neural and statistical classification
Bayesian Network Classifiers

Machine Learning - Special issue on learning with probabilistic representations
Self-Organizing Maps

Self-Organizing Maps
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey

Data Mining and Knowledge Discovery
Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques

Quantified Score

Hi-index	0.00

Visualization

Abstract

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 in the Czech Republic.