Improved churn prediction in telecommunication industry using data mining techniques

Abbas Keramati; Ruholla Jafari-Marandi; Mohammad Aliannejadi; I. Ahmadian; Mona Mozaffari; Ubaid Abbasi

doi:10.1016/j.asoc.2014.08.041

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JOURNAL ARTICLE

Improved churn prediction in telecommunication industry using data mining techniques

Abbas Keramati Ruholla Jafari-Marandi Mohammad Aliannejadi I. Ahmadian Mona Mozaffari Ubaid Abbasi

Year: 2014 Journal: Applied Soft Computing Vol: 24 Pages: 994-1012 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2014.08.041

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Keywords:

Computer science Decision tree Data mining Artificial neural network Support vector machine Precision and recall Data science Machine learning Artificial intelligence Software

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167

Cited By

24.05

FWCI (Field Weighted Citation Impact)

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0.99

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Is in top 1%

Is in top 10%

Citation History

Topics

Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

Customer Service Quality and Loyalty

Social Sciences → Business, Management and Accounting → Organizational Behavior and Human Resource Management

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Improved churn prediction in telecommunication industry using data mining techniques

Metrics

Citation History

Topics

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