Journal :   International Journal of Technology

Volume No. :   1

Issue No. :  2

Year :  2011

Pages :   125-129

ISSN Print :  2231-3907

ISSN Online :  2231-3915


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A Determining Approach for Customer Behavior Analysis Using K-Mean Clustering



Address:   Rajeshri Lanjewar, Tripti Sharma
Chhatrapati Shivaji Institute of Technology, Durg. CG
*Corresponding Author
DOI No:

ABSTRACT:
In any industry, the first step to finding and creating profitable customers is determining what drives profitability. This leads to better prospecting and more successful customer relationship management. Any company can segment and profile their customer base to uncover those profit drivers using the knowledge of their customers, products, and markets. Or they can use data-driven techniques to find natural clusters in their customer or prospect base. Whatever the method, the process will lead to knowledge and understanding that is critical to maintaining a competitive edge. Analyzing consumer behavior is a costly implementation of sophisticated information technology, which requires detailed planning and business knowledge for successful adoption. The current trend on consumer behavior analysis has been recognized on the business problem rather than on the information technology.
KEYWORDS:
A Determining Approach for Customer Behavior Analysis Using K-Mean Clustering
Cite:
Rajeshri Lanjewar, Tripti Sharma. A Determining Approach for Customer Behavior Analysis Using K-Mean Clustering. Int. J. Tech. 1(2): July-Dec. 2011; Page 125-129
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