Optimized feature extraction and actionable knowledge discovery for Customer Relationship Management (CRM)
P. Senthil Vadivu, Vasantha Kalyani David · 2012
Data mining techniques to customer relationship management (CRM), is that there is a lack of a comprehensive literature review and a classification scheme for it. This paper indicate that the research area of customer retention received most research attention. Classification and Association models are the two commonly used models for data mining in CRM. Algorithms are used in data mining to discover customer models for distribution information, that are used in Customer Relationship Management (CRM), to point out customers who are loyal and who are attritors, but human experts is a must for discovering knowledge manually. Many post processing techniques have been introduced that do not suggest action to increase the objective function such as profit. In this paper, a feature extraction technique is proposed for the best approximation property and to increase the profit.