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CUSTOMER CHURN PREDICTION IN THE BANKING SECTOR USING MACHINE LEARNING-BASED CLASSIFICATION MODELS.
Abstract Aim/Purpose Previous research has generally concentrated on identifying the
variables that most significantly influence customer churn or has used customer …
variables that most significantly influence customer churn or has used customer …
Customer data prediction and analysis in e-commerce using machine learning
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 …
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
(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 …
comprised 602 young adult bank customers.(2) The study applied Machine learning …
What prompts consumers to purchase online? A machine learning approach
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
market caused that the prediction of customer churn has become a very important and …