DESIGN AND IMPLEMENTATION OF A CLUSTERING MODEL TO STUDY CUSTOMER BEHAVIOR IN TOURISM ACTIVITIES

HUNYADI Ioan Daniel, Lucian Blaga University of Sibiu

MUSAN Mircea Adrian, Lucian Blaga University of Sibiu

Abstract:
The aim of this paper is to introduce models for customer behavior clustering based on some tourist's characteristics. Cluster analysis is realized using hierarchical and non-hierarchical methods in order to obtain the optimum number of classes. The implementation is made using an open source environment that provides complex processing to achieve modular operators, build by data mining techniques.

Keywords: cluster analysis, hierarchical clustering, non-hierarchical clustering, customer behavior

JEL Classification: C38, C61, C81, C83

Volume: 64.6, Issue: 6

Pages: 36 - 47

Publication date: , 2012

Download the article: http://economice.ulbsibiu.ro/revista.economica/archive/RE%206-64-2012.pdf

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