A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

A Manzoor, MA Qureshi, E Kidney, L Longo - IEEE Access, 2024 - ieeexplore.ieee.org
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

Arithmetic optimization with ensemble deep learning SBLSTM-RNN-IGSA model for customer churn prediction

N Jajam, NP Challa, KSL Prasanna… - Ieee …, 2023 - ieeexplore.ieee.org
Companies in a wide variety of industries use the customer churn prediction (CCP) process
to keep their current clientele happy. Insurance companies need to be able to forecast churn …

Recurrent neural networks for water quality assessment in complex coastal lagoon environments: A case study on the Venice Lagoon

S Aslan, F Zennaro, E Furlan, A Critto - Environmental Modelling & …, 2022 - Elsevier
Eutrophication represents an important ecological and environmental issue in coastal
lagoons. This paper presents an extensive study of recurrent cell and network architectures …

Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with weight updated tuned Naïve bayes classification with …

SA Panimalar, A Krishnakumar - Engineering Applications of Artificial …, 2023 - Elsevier
With progressing competitive market, different organizations were desperate to hold this
churn rate as minimum value, hence to achieve this, building an effective (CCP) customer …

Model optimization analysis of customer churn prediction using machine learning algorithms with focus on feature reductions

SM Sina Mirabdolbaghi, B Amiri - Discrete Dynamics in Nature …, 2022 - Wiley Online Library
Currently, Customers are struggling to retain their business in today's competitive markets.
Thus, the issue of customer churn becomes a significant challenge for the industries. In …

perCLTV: A general system for personalized customer lifetime value prediction in online games

S Zhao, R Wu, J Tao, M Qu, M Zhao, C Fan… - ACM Transactions on …, 2023 - dl.acm.org
Online games make up the largest segment of the booming global game market in terms of
revenue as well as players. Unlike games that sell games at one time for profit, online …

A counterfactual modeling framework for Churn prediction

G Zhang, J Zeng, Z Zhao, D Jin, Y Li - … on Web Search and Data Mining, 2022 - dl.acm.org
Accurate churn prediction for retaining users is keenly important for online services because
it determines their survival and prosperity. Recent research has specified social influence to …

Predicting churn in online games by quantifying diversity of engagement

I Weiss, D Vilenchik - Big Data, 2023 - liebertpub.com
Understanding engagement patterns of users in online platforms, may it be games, online
social networks, or academic websites, is a widely studied topic with many real-world …

Intensified customer churn Prediction: Connectivity with weighted Multi-Layer Perceptron and Enhanced Multipath Back Propagation

SA Panimalar, A Krishnakumar, SS Kumar - Expert Systems with …, 2024 - Elsevier
In the telecommunication industry, forecasting customer turnover in telecom networks is
crucial for maintaining customers and increasing profits. The proposed model explores the …

A Machine Learning Model for Customer Churn Prediction using CatBoost Classifier

JJR Angelina, SJ Subhashini, SH Baba… - … and Control Systems …, 2023 - ieeexplore.ieee.org
Quality of Service (QoS) is now attracting an increasing number of clients towards a
company. Meanwhile, the ability to provide clients with technologically better QoS is highly …