DATA MINING ON CUSTOMER SEGMENTATION: A REVIEW

Abstract

Data mining is used to extract important information from the bulk of data to save it and summarize it in effective manner. The hidden information can be extracted from the large set of data. The goal of this paper is to investigate the methods that are used for efficient grouping of data. The grouping must be done in its manner that the group can recognize the group members and group can also recognize still, not grouped member so far. Different approaches for customer segmentation in data mining are: clustering and subgroup discovery. Because of some limitations and scope of the clustering techniques, it leads to further refinements in methodology in data mining.