Developing Churn Models Using Data Mining Techniques and Social Network Analysis - Couverture rigide

Klepac, Goran; Kopal, Robert; Mr�i, Leo

 
9781466662889: Developing Churn Models Using Data Mining Techniques and Social Network Analysis

Synopsis

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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À propos de l?auteur

Goran Klepac, Raiffeisenbank Austria Zagreb, Croatia.

Robert Kopal University College for Law and Finance Effectus Zagreb, Croatia and University College for Applied Computer Engineering Algebra Zagreb, Croatia.

Leo Mršić University College for Law and Finance Effectus Zagreb, Croatia and University College for Applied Computer Engineering Algebra Zagreb, Croatia.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.