Work

Customer Clustering Based on RFM Features Using K-Means Algorithm

Year: 2022

Type: conference-paper

Source: IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom)

DOI: 10.1109/cyberneticscom55287.2022.9865572

Authors: Wafa Essayem, Fitra A. Bachtiar, Diah Priharsari

Institution: University of Brawijaya

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4293868294

FWCI: 4.278

Cites: 12

Cited by: 9

Related to: 10