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Design And Implementation Of A Clustering Model To Study Customer Behavior In Tourism Activities

Author

Listed:
  • 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.

Suggested Citation

  • HUNYADI Ioan Daniel & MUSAN Mircea Adrian, 2012. "Design And Implementation Of A Clustering Model To Study Customer Behavior In Tourism Activities," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 65(6), pages 36-47.
    • Handle: RePEc:blg:reveco:v:64.6:y:2012:i:6:p:36-47
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    More about this item

    Keywords

    cluster analysis; hierarchical clustering; non-hierarchical clustering; customer behavior;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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