Predicting Telecommunication Customer Churn Using Data Mining - Couverture souple

Alomari, Diana

 
9786202008716: Predicting Telecommunication Customer Churn Using Data Mining
Couverture souple
ISBN 10 : 6202008717 ISBN 13 : 9786202008716
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

Nowadays, there is a vast amount of data available for analysis, which if analyzed and interpreted accurately can yield valuable knowledge and key insights into customers’ needs. This book, will focus on the application of data mining analysis in the telecommunication sector and how this can be used to help in predicting and identifying customers that might leave a telecommunication provider to go to the company’s competitors (churn). When customer churn is predicted accurately, telecommunication companies will be more able to take proactive decisions to ensure that customers stay with the company i.e. customer retention.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

M.Sc. Information Systems from King Saud University (2017) - First honor.B.Sc. Information Systems from Prince Sultan University (2012) - First honor.Experience working with Cisco Systems, Inc . Research interest: big data, data mining, data analysis.

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

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
6202008717
ISBN 13 
9786202008716
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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info@krega-onlinehandel.de

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