Results 101 to 110 of about 3,473 (211)
Prediction of Customer Churn in Banking Industry
CoRR, 2020 With the growing competition in banking industry, banks are required to follow customer retention strategies while they are trying to increase their market share by acquiring new customers. This study compares the performance of six supervised classification techniques to suggest an efficient model to predict customer churn in banking industry, given ...
openaire +2 more sources
Customer Churn Prediction in Computer Security Software [PDF]
, 2019 One of the most valuable assets of any company is its customer; hence it is vital for a company to focus on customer retention strategy by its advantage over customer acquisi- tion. Customer churn prediction is a tool for increasing customer retention by
Dang, Quynh
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Customer Churn prediction in ECommerce Sector
, 2022 With the increasing popularity of e-commerce and the rapid development. The competition among e-commerce companies becomes fiercer (Zhang, 2015). As known, the most significant matter is to retain customers by providing the best services along with a ...
Alshamsi, Abdulrahman
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CUSTOMER CHURN PREDICTION MODEL IN TELECOMMUNICATION SECTOR USING MACHINELEARNING TECHNIQUE
, 2023 Customer churn is a critical problem faced by telecom companies, leading to lost revenue and increased marketing costs. In the highly competitive telecommunication sector, customer retention is essential for success.
Taskin, Nayema
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Customer Churn Analysis and Prediction
, 2022 One of the biggest data domain and most demanding use cases of recent time is Customer churn prediction. For a healthy and growing business churn prediction is an important indicator. This project aims to develop a churn prediction for banking sector.
Bristy, Badrun Nahar
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Churn prediction for SaaS company with machine learning [PDF]
Innovation & Management ReviewPurpose – In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company’s ...
Hugo Eduardo Sanches +2 more
doaj +1 more source
Customer Churn Prediction For Telecommunication Industry: A Malaysian Case Study
, 2022 Numerous businesses are concerned about customer churn, particularly in the telecommunications industry.
Mustafa, Nurulhuda +2 more
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, 2022 The focus of this project is in predicting customer churn. It is essential to consider and handle the imbalance problem, that is why this project explains the imbalance problem, states its importance and presents some methods to handle it. It continues to describe the algorithms of three classification algorithms; logistic regression, classification ...
openaire +1 more source
Research on customer churn prediction and model interpretability analysis. [PDF]
PLoS One, 2023 Peng K, Peng Y, Li W.
europepmc +1 more source