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Improved churn prediction in telecommunication industry using data mining techniques

Year: 2014

Type: article

Source: Applied Soft Computing

DOI: 10.1016/j.asoc.2014.08.041

Authors: A. Keramati, R. Jafari-Marandi, M. Aliannejadi, I. Ahmadian, M. Mozaffari, U. Abbasi

Institutions: University of Tehran, Amirkabir University of Technology, K. N. Toosi University of Technology, Arts et Métiers

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W1978501154

FWCI: 37.51

Cites: 59

Cited by: 177

Related to: 10