Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data-Reference-Cited by-同舟云学术

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Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data

Published:2023-10-30 Issue: Volume:25 Page:1-7
ISSN:
Container-title:2023 10th International Conference on Behavioural and Social Computing (BESC)
language:
Short-container-title:

Author:

Rudd David Hason¹,Huo Huan¹,Islam Md Rafiqul²,Xu Guandong³

Affiliation:

1. The University of Technology Sydney,Faculty of Engineering and IT,Sydney,Australia

2. Australian Institute of Higher Education (AIH),Information Systems (Data Analytics),Sydney,Australia

3. Advanced Analytics Institute (AAi),Faculty of Engineering and IT,Sydney,Australia

Funder

Australian Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385235/10386086/10386253.pdf?arnumber=10386253

Reference16 articles.

1. Building comprehensible customer churn prediction models: A multiple kernel support vector machines approach

2. Managing Churn to Maximize Profits

3. Incorporating textual information in customer churn prediction models based on a convolutional neural network

4. Client Churn Prediction with Call Log Analysis

5. CUSTOMER CHURN PREDICTION WITH HYBRID RESAMPLING AND ENSEMBLE LEARNING;Kimura;Journal of Management Information & Decision Sciences,2022

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