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Developing Churn Models Using Data Mining Techniques and Social Network Analysis Robert Kopal
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Developing Churn Models Using Data Mining Techniques and Social Network Analysis
Robert Kopal
Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.
Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 31 juillet 2014 |
| ISBN13 | 9781466662889 |
| Éditeurs | IGI Publishing |
| Pages | 328 |
| Dimensions | 19 × 178 × 254 mm · 784 g |
| Langue et grammaire | Anglais |
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