Work

Churn Prediction Using Dynamic RFM-Augmented Node2vec

Year: 2017

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-71970-2_11

Authors: Sandra Mitrović, Bart Baesens, Wilfried Lemahieu, Jochen De Weerdt

Institutions: KU Leuven, University of Southampton

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W2742583698

FWCI: 5.589

Cites: 35

Cited by: 10

Related to: 10