Work

A Comparative Study of Feature Selection and Resampling Techniques for Customer Churn Prediction with Explainable AI in the Telecommunications Sector

Year: 2025

Type: conference-paper

Source: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

DOI: 10.1109/acdsa65407.2025.11166474

Authors: Ismail Duru, Nurefşan Ak, Reyhan Dede

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4414459119

FWCI: 3.892

Cites: 17

Cited by: 1

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