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Publisher: IEEE Computer Society
Languages: English
Types: Unknown
Subjects: media_dig_tech_and_creative_econ
As telecommunication services becoming competitive, client contract management in this sector has become importance as well. In regards to the fact that a huge volume of telecommunication data especially details of the cell phone conversations exist, and they are practically not used, employment of data mining techniques on such data lead to exploring the hidden knowledge in them on the subscriber's behavior and lead s to predicting their behavior. Therefore, data mining is one of the most crucial methods of scientific management effective on contact with client increased profitability and client satisfaction. In this paper, using details of the phone cell conversations during two periods (one with no rival and the second one with rival) and the employing details of conversations of the third period for identifying subscribes suffering churn, it has attempted, regarding the pattern of client to predict their churn.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Building Data Mining Applications for CRM by Alex Berson, Kurt Thearling, and Stephen J. Smith (Kindle Edition - Jan 4, 2002)
    • [2] Data Warehousing and Data Mining for Telecommunications by Rob Mattison(Artech House, Inc. Norwood, MA, USA )
    • [3] Data mining and surveillance in the post-9.11 environment Oscar H. Gandy,.Herbert I. Schiller Barcelona, July, 2002
    • [4] An SVM based Churn Detector in Prepaid Mobile Telephony C├ędric Archaux , Hicham Laanaya , Arnaud Martin , Ali Khenchaf (2004 IEEE)
    • [5] Mining Optimal Actions For Profitable CRM Charles X.ling, Qiang Yang,Jie Cheng (2002 IEEE)
    • [6] A Review of Data Mining Tools In Customer Relationship Management Jayanthi Ranjan, Vishal Bhatnagar(Journal of Knowledge Management Practice, Vol. 9, No. 1, March 2008)
    • [7] Research on Application of Data Mining Technology in CRM Ying Gao, Dezhen Feng(The Sixth Wuhan International Conference on EBusiness e-Business Track)
    • [8] Critical Success Factors For Implementing CRM Using Data Mining Jayanthi Ranjan, Vishal Bhatnagar(Journal of Knowledge Management Practice, Vol. 9, No. 3, September 2008)
    • [9] Zhao Hongbo, Relationship Management of Telecom Enterprise's Customers, Apr. 2003.
    • [10] Research on Applying Data Mining to Telecom CRM Peng Liu, Naijun Wu, Chuanchang Huang, Bingrong Wei, Libo Wang, Zhen'an He (International Forum of Information System Frontiers - 2006 Xian International Symposium)
    • [11] Shu Huying, Qi Jiaying, Lifespan Management of Telecom Customers, Aug. 2004.
    • [12] S.B. Kotsiantis, Supervised Machine Learning: A Review of Classification Techniques, Informatica 31(2007) 249-268, 2007
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