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An application of data mining techniques in assessment of Customer Lifetime Value

عنوان مقاله: An application of data mining techniques in assessment of Customer Lifetime Value
شناسه ملی مقاله: ICTM06_146
منتشر شده در ششمین کنفرانس بین المللی مدیریت فناوری اطلاعات و ارتباطات در سال 1388
مشخصات نویسندگان مقاله:

Mohammad jafar Tarokh - IT group department of industrial engineering K.N.tossi university of technology Iran
Mahboubeh khajvand - Ph.D,Associate professor, IT group department of industrial engineering K.N.tossi university of technology Iran

خلاصه مقاله:
In late of 1980 , when - customer , oriented - enterprises worked in competitive markets , a new paradigm entered in customer relationship management (CRM) scope that was called customer lifetime value (CLV). CLVis the present value of all future profits for firms generated from a customer . CLV can be measured in different ways. According to recent researches, most of the proposesed models are mathematical models, but some tools like data mining can also be used to estimate CLV by analyzing customer information and transaction warehouses.

کلمات کلیدی:
Customer lifetime Value , Customer Segmentation , weighted RFM model , data mining

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/84689/