Published Paper Details:

Ecstatic and joyous customer is commensurate to the company's growth. More the level of satisfaction the more is the probability of the increase in the company's net worth. Customer segmentation is done to fathom the behavior of customer and grasp information regarding his interest and need for a particular product. Customer segmentation has made world more customer centric than product centric. Various data mining techniques had been used previously for the customer classification. In this paper we will be discussing about the use and advantage of k-means clustering data mining algorithm over other data mining techniques. Based on the essence of demographic, geographic, behavioral, and psychographic conditions of the customer stratification will be done. We will be doing this using by first classification and then applying k means clustering algorithm in weka tool and we will be able to decide the best among them and suggest what technique should be taken up in order to do the segmentation of the customer.