Churn prediction scoping study

Project Member(s): Xu, G., Huo, H.

Funding or Partner Organisation: SINGH, DENNIS - BAYESIAN (Bayesian Pty Ltd)
SINGH, DENNIS - BAYESIAN (Bayesian Pty Ltd)

Start year: 2022

Summary: The purpose of this scoping study is to determine requirements, activities and assess the feasbility to undertake a formalised approach to predicting member churn within the ADA

Publications:

Rudd, DH, Huo, H, Islam, MR & Xu, G 1970, 'Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data', 2023 10th International Conference on Behavioural and Social Computing (BESC), 2023 10th International Conference on Behavioural and Social Computing (BESC), IEEE, pp. 1-7.
View/Download from: Publisher's site

FOR Codes: Data mining and knowledge discovery, Artificial intelligence

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.