Work

Deciphering Key Features in Online Buying Session Prediction Using Logistic Regression and Naive Bayes

Year: 2024

Type: conference-paper

Source: International Conference on Technology Innovation and Its Applications (ICTIIA)

DOI: 10.1109/ictiia61827.2024.10761491

Authors: Arnold Aribowo, I Made Murwantara

Institution: Pelita Harapan University

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4404915946

FWCI:

Cites: 18

Cited by:

Related to: 10