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Only with subscribers' contractual records and bill details in the investigated fixed-line services provider, we construct several churn prediction models, applying different data mining technologies. Comparing the models with predictors of duration of service use, payment type, amount and structure of monthly service fees and changes of the monthly service fees, we find that duration of service use...
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