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Developing Churn Models Using Data Mining Techniques and Social Network Analysis

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers Information Science Reference, July 2014
Churn prediction, recognition, and mitigation have become essential topics in various industries. As... Full description
? points 601 b
248.07
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Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and managing 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.

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About the book

Full name Developing Churn Models Using Data Mining Techniques and Social Network Analysis
Author Goran, Robert, Leo
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2014
EAN 9781466662902
Libristo code 40271209
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