Data mining algorithms and techniques research in CRM systems

Authors:
Adela Tudor;Adela Bara;Iuliana Botha
Affiliations:
The Bucharest Academy of Economic Studies, Bucharest, Romania;The Bucharest Academy of Economic Studies, Bucharest, Romania;The Bucharest Academy of Economic Studies, Bucharest, Romania
Venue:
MAMECTIS/NOLASC/CONTROL/WAMUS'11 Proceedings of the 13th WSEAS international conference on mathematical methods, computational techniques and intelligent systems, and 10th WSEAS international conference on non-linear analysis, non-linear systems and chaos, and 7th WSEAS international conference on dynamical systems and control, and 11th WSEAS international conference on Wavelet analysis and multirate systems: recent researches in computational techniques, non-linear systems and control
Year:
2011

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Abstract

Data mining has become an increasingly powerful technology, being applied in a variety of areas, from investment management to astronomy. The importance and potential of this technology has been recognized in marketing, banking, health, telecommunications, etc. for applications such as cost analysis, efficiency promoting, customer vulnerability analysis, customer relationship management. Data mining can be considered an interdisciplinary research which employs applied mathematics and computational statistics. The main goal of the paper is to illustrate the importance of the optimization methods used in data mining process, as well as the specific predictive models and how they work in this field. Also, the customer relationship management systems have been developed lately, offering new opportunities for a strong profitable relation between a business and clients.