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ABSTRACT

Network-Marketing: Intelligent Data Control System using Data Mining Technique

H.S. Fadewar1, S.B. Jagtap1, G.N.Shinde2

Assistant Professor, Swami Vivekanand Institute of Technology and Management, Udgir, fade-war_hsf@yahoo.com
Corresponding author. Principal, Indira Gandhi ( Sr.) College, CIDCO, New Nanded (M.S.)India, shindegn@yahoo.co.in

The International Conference on Computational & Experimental Engineering and Sciences 2009, 9(1), 57-66. https://doi.org/10.3970/icces.2009.009.057

Abstract

Data Mining (DM) techniques are well-known for providing flexible and efficient analytical tools for data processing. In this paper, we propose intelligent data control system design and specifications as an example of DM application in marketing data processing. E-Marketing businesses are using Data Mining to identify patterns in customers' buying behavior; identify profitable customer segments; increase marketing return rates; prevent loss of valuable customers; estimate credit risk; identify fraudulent activity and much more.

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APA Style
Fadewar, H., Jagtap, S., G.N.Shinde, (2009). Network-marketing: intelligent data control system using data mining technique. The International Conference on Computational & Experimental Engineering and Sciences, 9(1), 57-66. https://doi.org/10.3970/icces.2009.009.057
Vancouver Style
Fadewar H, Jagtap S, G.N.Shinde . Network-marketing: intelligent data control system using data mining technique. Int Conf Comput Exp Eng Sciences . 2009;9(1):57-66 https://doi.org/10.3970/icces.2009.009.057
IEEE Style
H. Fadewar, S. Jagtap, and G.N.Shinde, “Network-Marketing: Intelligent Data Control System using Data Mining Technique,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 9, no. 1, pp. 57-66, 2009. https://doi.org/10.3970/icces.2009.009.057



cc Copyright © 2009 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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