Work

Determining the Intervening Effects of Exploratory Data Analysis and Feature Engineering in Telecoms Customer Churn Modelling

Year: 2019

Type: conference-paper

Source: MEC International Conference on Big Data and Smart City (ICBDSC)

DOI: 10.1109/icbdsc.2019.8645578

Authors: Alrence Santiago Halibas, Anju Cherian Matthew, Indu Govinda Pillai, Jay Harold Reazol, Erbeth Gerald Delvo, Leslyn Bonachita Reazol

Institutions: Gulf College, La Salle University

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W2915580901

FWCI: 17.96

Cites: 34

Cited by: 34

Related to: 10