Developing Churn Models Using Data Mining Techniques and Social Network Analysis
Author:   Goran Klepac (Raiffeisenbank Austria Zagreb, Croatia) ,  Robert Kopal (University College for Law and Finance Effectus Zagreb, Croatia & University College for Applied Computer Engineering Algebra Zagreb, Croatia)
Publisher:   IGI Global
ISBN:  

9781322131344


Pages:   326
Publication Date:   01 January 2014
Format:   Electronic book text
Availability:   Available To Order   Availability explained
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Developing Churn Models Using Data Mining Techniques and Social Network Analysis


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Overview

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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Author:   Goran Klepac (Raiffeisenbank Austria Zagreb, Croatia) ,  Robert Kopal (University College for Law and Finance Effectus Zagreb, Croatia & University College for Applied Computer Engineering Algebra Zagreb, Croatia)
Publisher:   IGI Global
Imprint:   IGI Global
ISBN:  

9781322131344


ISBN 10:   1322131341
Pages:   326
Publication Date:   01 January 2014
Audience:   General/trade ,  General
Format:   Electronic book text
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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