Analysing Customer Profiles using Data Mining Techniques

Teohareva Filipova, Biljana and Martinovska, Cveta (2012) Analysing Customer Profiles using Data Mining Techniques. Proceedings of the ITI 2012, 34th International Conference on Information Technology Interfaces. pp. 73-78. ISSN 1330-1012

Full text not available from this repository. (Request a copy)
Official URL: http://iti.srce.unizg.hr/past-years/2012/

Abstract

Survival on the market and competitiveness of the companies often depend on the knowledge of spending pattern and customer preferences. Certain information can be extracted from the customer profiles, as for example, which products a particular customer or a group of customers prefers, what are the characteristics of the loyal customers, whether age, income, marital status or other factors have an impact on buying preferences. We use several data mining techniques, such as Bayesian network, decision tree and neural network, to determine the factors that affect the spending pattern and buying preferences of the customers.

Item Type: Article
Subjects: Natural sciences > Computer and information sciences
Divisions: Faculty of Computer Science
Depositing User: Cveta Martinovska Bande
Date Deposited: 06 Nov 2012 15:04
Last Modified: 19 Nov 2012 14:54
URI: http://eprints.ugd.edu.mk/id/eprint/473

Actions (login required)

View Item View Item