CUSTOMER CHURN PREDICTION USING LOCAL LINEAR MODEL TREE FOR IRANIAN TELECOMMUNICATION COMPANIES

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FASANGHARI MEHDI; KERAMATI ABBAS

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Journal: Advances in Industrial Engineering Year:2011 | Volume:- | Issue:SUPPLEMENT Page(s): 25-37

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Information Journal Paper

Title

CUSTOMER CHURN PREDICTION USING LOCAL LINEAR MODEL TREE FOR IRANIAN TELECOMMUNICATION COMPANIES

Author(s)

FASANGHARI MEHDI | KERAMATI ABBAS | Issue Writer Certificate

Keywords

LLNFQ2

CUSTOMER CHURNQ2

LOLIMOTQ2

FUZZY LOGICQ2

NEURAL NETWORKQ2

PREDICTIONQ2

MOBILE SERVICE PROVIDERQ2

Abstract

For winning in global competition, companies need to recognition and monitoring of customer's behavior to forecast their behavior and desires earlier than competitors. This research tries to recognize the attributes which lead to CUSTOMER CHURN. For this, behavior of 3150 subscribers of an Iranian mobile operator, has observed during one year and trends of them has analyzed by a customized LLNF model. For this purpose, the application of the locally linear model tree (LOLIMOT) algorithm, which integrates the advantage of NEURAL NETWORKs, tree model and fuzzy modeling, was experimented.Results suggest that dissatisfaction of customer, his/her usage from services and demographic attributes have significant effect on decision to churn or retention. Furthermore, the active or inactive subscriber situation has mediation effect on his/her retention.

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APA: Copy

FASANGHARI, MEHDI, & KERAMATI, ABBAS. (2011). CUSTOMER CHURN PREDICTION USING LOCAL LINEAR MODEL TREE FOR IRANIAN TELECOMMUNICATION COMPANIES. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), -(SUPPLEMENT), 25-37. SID. https://sid.ir/paper/166423/en

Vancouver: Copy

FASANGHARI MEHDI, KERAMATI ABBAS. CUSTOMER CHURN PREDICTION USING LOCAL LINEAR MODEL TREE FOR IRANIAN TELECOMMUNICATION COMPANIES. ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2011;-(SUPPLEMENT):25-37. Available from: https://sid.ir/paper/166423/en

IEEE: Copy

MEHDI FASANGHARI, and ABBAS KERAMATI, “CUSTOMER CHURN PREDICTION USING LOCAL LINEAR MODEL TREE FOR IRANIAN TELECOMMUNICATION COMPANIES,” ADVANCES IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. -, no. SUPPLEMENT, pp. 25–37, 2011, [Online]. Available: https://sid.ir/paper/166423/en

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