Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Predicting Telecommunication Customer Churn Using Data Mining
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LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202008717
ISBN 13: 9786202008716
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch. Codice articolo 9786202008716
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alomari DianaM.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 da. Codice articolo 166369677
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Predicting Telecommunication Customer Churn Using Data Mining
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ISBN 10: 6202008717
ISBN 13: 9786202008716
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Predicting Telecommunication Customer Churn Using Data Mining
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LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202008717
ISBN 13: 9786202008716
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch. Codice articolo 9786202008716
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LAP LAMBERT Academic Publishing, 2017
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9786202008716
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Taschenbuch. Condizione: Neu. Predicting Telecommunication Customer Churn Using Data Mining | Diana Alomari | Taschenbuch | 120 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202008716 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 109669622
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