• G.BALAKRISHNAN
• Dr.V.NAGAJOTHI

In this paper, we used the knowledge discovery in databases and data mining, one of the data based decision support techniques to help labelling customers in the insurance industry. In most data mining application cases, major tasks including data preparation, data pre processing, data transformation, data mining, interpretation, application and evaluation,are required. The results of a case study are presented that knowledge discovery of databases and data mining is used to explore decision rules for an automobile insurance company. The decision rules can be used to label the customers as “bad” or “good” for insurance policies.

A STUDY ON CUSTOMER RELATION SHIP MANAGEMENT USING TECHNOLOGIES IN INSURANCE INDUSTRIES WITH SPECIAL REFERENCE TO THANJAVUR DISTRICT

"A STUDY ON CUSTOMER RELATION SHIP MANAGEMENT USING TECHNOLOGIES IN INSURANCE INDUSTRIES WITH SPECIAL REFERENCE TO THANJAVUR DISTRICT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.405-408, November-2018, Available :http://www.jetir.org/papers/JETIR1811751.pdf

"A STUDY ON CUSTOMER RELATION SHIP MANAGEMENT USING TECHNOLOGIES IN INSURANCE INDUSTRIES WITH SPECIAL REFERENCE TO THANJAVUR DISTRICT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp405-408, November-2018, Available at : http://www.jetir.org/papers/JETIR1811751.pdf