Work

TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments

Year: 2023

Type: article

Source: Journal of Intelligent Information Systems

DOI: 10.1007/s10844-023-00838-5

Authors: Vincenzo Pasquadibisceglie, Annalisa Appice, Giuseppe Ieva, Donato Malerba

Institutions: Consorzio Interuniversitario Nazionale per l'Informatica, University of Bari Aldo Moro

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4390345308

FWCI: 5.005

Cites: 47

Cited by: 19

Related to: 10