Predicting Telecommunication Customer Churn Using Data Mining

Lieferzeit: Lieferbar innerhalb 14 Tagen

49,90 

ISBN: 6202008717
ISBN 13: 9786202008716
Autor: Alomari, Diana
Verlag: LAP LAMBERT Academic Publishing
Umfang: 120 S.
Erscheinungsdatum: 02.09.2017
Auflage: 1/2017
Format: 0.8 x 22 x 15
Gewicht: 197 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 2832672 Kategorie:

Beschreibung

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 companys 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.

Autorenporträt

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.

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