HIGHLIGHTS
- who: TIERS from the Institut Teknologi Dan Bisnis Swdharma, JlMalaka No , Roa Malaka, KecTambora, West Jakarta, Jakarta, Indonesia have published the Article: Predictive Analysis of Customer Retention Using the Random, in the Journal: (JOURNAL)
- what: This study discusses data mining capabilities in designing and implementing a customer loss prediction model using the standard CRISP-DM methodology ba sed on RFM (Recency, Frequency, Monetary) and Random Forest and Tree techniques, on the database of one of the Solico food industry groups. Using this model, the customer's tendency to return is identified and the planning of . . .
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