Case Studies in Applying Data Mining for Churn Analysis

E-ISSN： 2166-7306|5|2|22-33

ISSN： 2166-7292

Source： International Journal of Conceptual Structures and Smart Applications (IJCSSA), Vol.5, Iss.2, 2017-07, pp. : 22-33

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