Work

Churn Prediction in Online Games Using Players’ Login Records: A Frequency Analysis Approach

Year: 2015

Type: article

Source: IEEE Transactions on Computational Intelligence and AI in Games

DOI: 10.1109/tciaig.2015.2401979

Authors: Emiliano G. Castro, Marcos S. G. Tsuzuki

Institution: Universidade de São Paulo

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

Funder: Conselho Nacional de Desenvolvimento Científico e Tecnológico

OpenAlex ID: W2044188317

FWCI: 11.6

Cites: 23

Cited by: 60

Related to: 10