Developing Churn Models Using Data Mining Techniques and Social Network Analysis

Goran Klepac (u. a.)

ISBN 10: 1466662883 / ISBN 13: 9781466662889

Edité par Information Science Reference, 2014

Developing Churn Models Using Data Mining Techniques and Social Network Analysis | Goran Klepac (u. a.) | Buch | Gebunden | Englisch | 2014 | Information Science Reference | EAN 9781466662889 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 105114676

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.

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.

Détails bibliographiques

Titre : Developing Churn Models Using Data Mining ...
Éditeur : Information Science Reference
Date d'édition : 2014
Reliure : Buch
Etat : Neu