Corpus ID: 17707835
Initializing Genetic Programming using Fuzzy Clustering and its Application in Churn Prediction in the Telecom Industry
Published 2015
Computer Science

Malaysian Journal of Computer Science
Customer defection or "churn" rate is critically important since it leads to serious business loss. Therefore, many telecommunication companies and operators have increased their concern about churn… Expand
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4 Citations
Figures, Tables, and Topics from this paper
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Fuzzy clustering
Genetic Programming
Data mining
Heuristic
Classification chart
Decision tree learning
Hearing Loss, High-Frequency
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References
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A churn consumer can be defined as a customer who transfers from one service provider to another service provider. Recently, business operators have investigated many techniques that identify the… Expand
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The main finding from the research is that linear models, especially logistic regression, are a very good choice when modelling churn of the prepaid clients, and decision trees are unstable in high percentiles of the lift curve, and the author does not recommend their usage. Expand
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This study compares various data mining techniques that can assign a ‘propensity-to-churn’ score periodically to each subscriber of a mobile operator and indicates that both decision tree and neural network techniques can deliver accurate churn prediction models. Expand
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