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

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.

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Year of publication:	2012
Authors:	Daniel, HUNYADI Ioan ; Adrian, MUSAN Mircea
Published in:	Revista Economica. - Facultatea de Ştiinţe Economice. - Vol. 64.6.2012, 6, p. 36-47
Publisher:	Facultatea de Ştiinţe Economice
Subject:	cluster analysis \| hierarchical clustering \| non-hierarchical clustering \| customer behavior

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Extent:	application/pdf
Type of publication:	Article
Classification:	c38 ; C61 - Optimization Techniques; Programming Models; Dynamic Analysis ; C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; C83 - Survey Methods; Sampling Methods
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010602651