CUSTOMER CHURN PREDICTION IN THE BANKING SECTOR USING MACHINE LEARNING-BASED CLASSIFICATION MODELS.

H Tran, N Le, VH Nguyen - Interdisciplinary Journal of …, 2023 - search.ebscohost.com
Abstract Aim/Purpose Previous research has generally concentrated on identifying the
variables that most significantly influence customer churn or has used customer …

Customer data prediction and analysis in e-commerce using machine learning

MA Al Rahib, N Saha, R Mia, A Sattar - Bulletin of Electrical Engineering …, 2024 - beei.org
Customer churn is a major challenge faced by e-commerce companies, as it leads to loss of
revenue and decreased customer loyalty. In recent years, for predicting and reducing client …

[HTML][HTML] An ensemble model for predicting retail banking churn in the youth segment of customers

V Bharathi S, D Pramod, R Raman - Data, 2022 - mdpi.com
(1) This study aims to predict the youth customers' defection in retail banking. The sample
comprised 602 young adult bank customers.(2) The study applied Machine learning …

What prompts consumers to purchase online? A machine learning approach

SK Trivedi, P Patra, PR Srivastava, JZ Zhang… - Electronic Commerce …, 2022 - Springer
With e-commerce emerging as a prominent mode of purchasing, there is a pressing need for
businesses across the globe to understand online consumer purchase behavior and, in …

Digital economy growth in Singapore and Thailand following the post-COVID-19 pandemic

SO Putri, AS Yahya, A Attahira, LS Nabilasari… - Journal of Eastern …, 2023 - ieeca.org
This research aims to identify the development of the digital economy and its impact on
welfare and economic growth in Singapore and Thailand. The two countries allocate a …

A decade of churn prediction techniques in the telco domain: a survey

A Barsotti, G Gianini, C Mio, J Lin, H Babbar… - SN Computer …, 2024 - Springer
This work surveys the research contributions of the last decade to the prediction of customer
churn and adds a perspective toward what is yet to be reached. The main objective of this …

A grid search optimized extreme learning machine approach for customer churn prediction

FÖ Koçoğlu, T Özcan - Journal of Engineering Research, 2023 - kuwaitjournals.org
Customers' behaviors such as tendencies, loyalty status, satisfaction criteria show an
alteration day by day due to the changing world. So, these behavior changes should be …

Comparative performance analysis using machine learning for churn prediction in E-commerce

R Alexander, AM Nancy, E Aswini… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
New clients cost a business significantly more money in e-commerce than kee** its
existing clients. Companies can boost consumer retention, which will result in more revenue …

[PDF][PDF] Intelligent digital twin to make robot learn the assembly process through deep learning

B Ahmad - Lahore Garrison University Research Journal of …, 2021 - core.ac.uk
The objective of this paper is to utilize deep learning technology to develop an intelligent
digital twin for the operational support of a human-robot assembly station. Digital twin, as a …

Bag of Activities for Customer Churn Prediction in e-Book Subscription Domain

P Drozda, K Ropiak, Ł Mozalewski… - Asian Conference on …, 2024 - Springer
The growth of the e-book subscription industry and the increase of the competition in the
market caused that the prediction of customer churn has become a very important and …