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"Application of Data Mining in Customer Relationship Management: A Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.743-745, January-2018, Available :http://www.jetir.org/papers/JETIR1801145.pdf

• Aarushi
• Rainu Nandal

Data mining is a technique to extract new useful information from existing database. It is used to predict various patterns from present dataset. It has a great application in the field of sales/marketing. In today’s competitive world, it has become necessary for businesses or organizations to adopt a strategy or technique before introducing their product in the market to earn huge profit from the customers by maintaining healthy relationship with them. In this paper we want to explain the use of data mining techniques such as association rule mining, decision trees, clustering, etc. that helps businesses in developing and maintaining a healthy relationship with customers.

Data mining, customer relationship management, WEKA, Decision Tree, Classification, Clustering, Regression Analysis, Association rule mining

"Application of Data Mining in Customer Relationship Management: A Review ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp743-745, January-2018, Available at : http://www.jetir.org/papers/JETIR1801145.pdf