Social network analysis for customer churn prediction
Cited by (174)
Items 101–174 of 174
- Enhancing Customer Retention: A Comprehensive Analysis of Churn Prediction with KNNDaksh Rawat, Isha Khetarpal, Devansh Khetarpal, Abhishek Upadhyay, Piyush Bagla, Manisha Aeri · 2024 · International Conference on Technological Advancements in Computational Sciences (ICTACS)
- Bank Customer Churn Analysis and PredictionWenhui Zhang · 2023 · Management Science Informatization and Economic Innovation Development Conference (MSIEID)
- A Feature Interaction Network for Customer Churn PredictionQi Tang, Guoen Xia, Xianquan Zhang, Yaxiang Li · 2020 · International Conference on Machine Learning and Computing (ICMLC)
- Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal InferenceThéo Verhelst, Olivier Caelen, Jean-Christophe Dewitte, Bertrand Lebichot, Gianluca Bontempi · 2020 · Communications in computer and information science
- Application of Social Network Inferred Data to Churn Modeling in TelecomsWitold Gruszczyński · 2016 · Journal of Telecommunications and Information Technology
- Designing combo recharge plans for telecom subscribers using itemset mining techniqueGiridhar Maji, Sharmistha Mandal, Souvik Bhattacharya, Soumya Sen · 2017 · IEEE International Conference on Industrial Technology (ICIT)
- Twitter Analysis to Predict the Satisfaction of Saudi Telecommunication Companies’ CustomersLatifah Almuqren · 2021 · Durham e-Theses (Durham University)
- Integrating Business Intelligence and CRM Systems With a Machine Learning Approach for Predictive Customer Retention in E‐CommerceMohammad Zeinali, Leila Ramezani Asli, Mohammad Amin Khalili · 2026 · The Scientific World JOURNAL
- RiskLogitboost Regression for Rare Events in Binary Response: An Econometric ApproachJessica Pesantez-Narvaez, Montserrat Guillén, Manuela Alcañiz · 2021 · Mathematics
- Inductive Representation Learning on Feature Rich Complex Networks for Churn Prediction in TelcoMaría Óskarsdóttir, Sander Cornette, Floris Deseure, Bart Baesens · 2019 · Studies in computational intelligence
- Measuring churner influence on pre-paid subscribers using fuzzy logicLouise Columelli, Miguel Núñez-del-Prado, Leoncio Zarate-Gamarra · 2016 · Latin American Computer Conference (CLEI)
- Predicting Customer Churn Through Lifetime Value: Analysis of Multidimensional Influencing Factors and Their InteractionsQianyun Zhang · 2025 · Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence (DEAI)
- Ensemble multi-objective hyperparameter optimization for the classification of imbalanced heart disease dataMaryam Moradpour, Zully Ritter, Anne-Christin Hauschild · 2025 · Expert Systems with Applications
- A hybrid approach for customer churn prediction and prevention in tourismGhazaleh Motamedi, Alireza Sheikh, Alireza Hashemi Golpayegani, Samira Khodabandehlou · 2026 · Information Technology & Tourism
- Smart Secure and Warning System in Hair Pin Bends at Hill Stations Based on ZigBee Technology2019 · International Journal of Recent Technology and Engineering (IJRTE)
- A Data Mining Application in Customer Churn PredictionMustafa BÜYÜKKEÇECİ, Mehmet Cudi Okur · 2022 · Deu Muhendislik Fakultesi Fen ve Muhendislik
- CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail SectorGiuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie · 2023 · Lecture notes in computer science
- Hybrid Clustering and Classification of At-Risk Customer Segments in Network MarketingUnung Istopo Hartanto, I Gusti Putu Asto Buditjahjanto, Wiyli Yustanti · 2025 · Journal of Information Engineering and Educational Technology
- Data-Driven Customer Behaviour Model Generation For Agent Based ExplorationChidozie Mgbemena, David Bell · 2016 · Annual Simulation Symposium (ANSS)
- Toward Decision Support for Telecom External Data Monetization: A Study of the Value of Network- and Personality-Based Metrics for Third-Party BusinessesChristian Colot, Philippe Baecke, Isabelle Linden · 2022 · Big Data
- Joining, participating in and withdrawing from a social networking siteOsorio Toro, Carlos Andres · 2015
- Evaluating the Effect of Leading Indicators in Customer Churn PredictionSharath Kumar, Nestor Mariyasagayam, Yuichi Nonaka · 2023 · Lecture notes in electrical engineering
- E-Commerce Sales Forecasting using Deep LearningBhaskar Mekala, A. A. S. Laxmi Prasanna, Bandikatla Navya Sree, Bandikatla Durga Lakshmi, Sandhya Srinivas Kondapalli, Jadala Gangadhar · 2025 · International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI)
- Customer-Focused Churn Prevention with Social CRM at Orange Polska SA (Research in Progress)Ewelina Szczekocka · 2020 · Lecture notes in business information processing
- Procesamiento de lenguaje natural aplicado a datos masivos generados en medios socialesCentro de Estudios de la Real Academia Española, Jordi Porta, José Luis Sancho Sánchez, Centro de Estudios de la Real Academia Española · 2021 · Revista Española de Lingüística
- Two-Stage RFM and Macroeconomics Interaction Model for Accurate CLV Prediction in Direct SalesUnung Istopo Hartanto, I Gusti Putu Asto Buditjahjanto, Wiyli Yustanti · 2025 · Proceedings of The International Conference on Data Science and Official Statistics
- Augmented Business Intelligence for Predictive Customer SegmentationUnited States. Independent Researcher, Kuljeet Kaur · 2026 · Frontiers in Business Innovations and Management
- When subgraphs outperform graphs: a scalable training strategy for churn prediction on large class-imbalanced networksYameng Guo, Seppe vanden Broucke · 2026 · Data Mining and Knowledge Discovery
- Sub-graph degree-based bridge centrality algorithmChinenye Ezeh, Ren Tao, Yanjie Xu, Shixiang Sun, Zhe Li · 2021 · International Journal of Modern Physics C
- Prediction of Augmented Efficiency between Electric Pulses and Bleomycin on K562 and MIA-PACA2 Cancer Cells Using Adaptive Neuro-Fuzzy Inference System MethodSalim Mirshahi, Neshat Mirshahi, Sepideh Mirshahi, Kiarash Aryana, Anita Farzaneh Far, Ameneh Sazgarnia, Amirhossein RadmanKian · 2024 · Clinical Case Reports and Studies
- Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn PreventionThéo Verhelst, Jeevan Shrestha, Denis Mercier, Jean-Christophe Dewitte, Gianluca Bontempi · 2021 · Lecture notes in computer science
- Using Class Membership based Approach to Improve Predictive Classification in Customer Relationship Management SystemsStéphane Cédric Koumetio Tekouabou, Walid Cherif, Hamza Toulni, Elarbi A. Abdelaoui, Hassan Silkan · 2022 · International Journal of Computing
- Business ApplicationsWouter Verbeke, Bart Baesens, Cristián Bravo · 2017 · Wiley eBooks
- Barriers for Academic Data Science Research in the New Realm of Behavior Modification by Digital PlatformsTravis Greene, David Martens, Galit Shmueli A · 2021 · SSRN Electronic Journal
- Social Network Data and Predictive Mining (Business Intelligence 2)Amy Van Looy · 2015 · Springer texts in business and economics
- A Framework for Analysing Dynamic Communities in Large-scale Social NetworksVítor Cerqueira, Márcia Oliveira, João Manuel Portela da Gama · 2015 · International Conference on Enterprise Information Systems
- Shapley-Based Analysis of the Leadership Formation in Social NetworksIvan Belik · 2019 · Advances in public policy and administration (APPA) book series
- Entscheidungsunterstützung im Kundenbeziehungszyklus durch Maschinelle LernverfahrenAndreas Welsch, Verena Eitle, Peter Buxmann · 2019 · Edition HMD
- Data-Driven Link Screening for Increasing Network PredictabilityTomer Geva, Inbal Yahav · 2019 · IEEE Transactions on Knowledge and Data Engineering
- ‘All Data Is Credit Data’: Personalised Consumer Credit Score and Anti-Discrimination LawNoelia Collado-Rogriguez, Uta Kohl · 2021 · Cambridge University Press eBooks
- Risk Analytics in EconometricsPesantez Narvaez, Jéssica Estefanía · 2021 · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya)
- Themes: Personal Autonomy, Market Choices and the Presumption of InnocenceUta Kohl, Jacob Eisler · 2021 · Cambridge University Press eBooks
- A New Time Series Approach in Churn Prediction with Discriminatory IntervalsHedieh Ahmadi, Seyed Mohammad Hossein Hasheminejad · 2021 · International Conference on Computer and Knowledge Engineering
- Economic ImpactWouter Verbeke, Bart Baesens, Cristián Bravo · 2017 · Wiley eBooks
- Analytical TechniquesWouter Verbeke, Bart Baesens, Cristián Bravo · 2017 · Wiley eBooks
- A Value‐Centric Perspective Towards AnalyticsWouter Verbeke, Bart Baesens, Cristián Bravo · 2017 · Wiley eBooks
- Analysis of Complex Customer Networks: A Real-World Banking ExampleKarmela Ljubičić, Andro Merćep, Zvonko Kostanjčar · 2022 · International Convention on Information and Communication Technology, Electronics and Microelectronics
- Friend Ranking in Online Games via Pre-training Edge TransformersLiang Yao, Jiazhen Peng, Shenggong Ji, Qiang Liu, Hongyun Cai, Feng He, Xu Cheng · 2023 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- Machine Learning Investigation of Electroporation of Cell Clusters in Cancer Therapy Using Adaptive Neuro-Fuzzy Inference and Finite Element ModelingSalim Mirshahi, Ameneh Sazgarnia · 2025 · Research Square
- Learning from Uncertainty: Improving Churn Prediction using Conformal Confidence IntervalsYameng Guo, Seppe vanden Broucke · 2024 · International Conference on Machine Learning and Applications
- Autoencoder-LSTM Ensembles for Predictive Analysis of Financial Churn PatternsRaynukaazhakarsamy, Rahul Pradhan, Nadhema Ahmed Jaff, Gaddam Venu Gopal, Mariam Fadel Ali, P. Nagaraj · 2025 · International Conference on Emerging Smart Computing and Informatics (ESCI)
- Evitalizing Fintech: Leveraging Refactoring Techniques to Enhance Legacy System Performance and MaintainabilityMahmoud Raafat Elrashidy · 2025 · Journal of Engineering Advances and Technologies for Sustainable Applications
- Reinforcement Learning to Model Churn Propagation Dynamics in Social NetworksYameng Guo, Seppe vanden Broucke · 2025 · International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
- CUSTOMER CHURN RATE PREDICTION USING RANDOM FOREST USING MACHINE LEARNING TECHNIQUES AND STREAMLIT FRAMEWORKRohith Chintham, Kandadi Thirupathi Reddy · 2025
- A Prediction of Users Repurchase Based on Machine Learning TheoryHanzhe Zhang · 2024 · International Conference on Applied Machine Learning (ICAML)
- Robust Detection of Credit Card Fraud by Optimized Supervised Machine Learning for Financial Risk MitigationAbdullah Sami Ali, Omar Salim Azeez Almola, Umar Farooq Khattak, Victor Barabash · 2026 · Lecture notes in networks and systems
- Integrating Pipelines into ML Models for SaaS Customer Churn PredictionRiya Kharwal, Alka Chaudhary · 2026 · Lecture notes in networks and systems
- A Prediction of Users Repurchase Based on Machine Learning TheoryHanzhe Zhang · 2025 · International Conference on Computer Communication, Networks and Information Science (CCNIS)
- A Decision-Analytic Methodology for Capacity-Constrained User Re-Engagement Using Behavioral SignalsSnigdha Alathur · 2026 · IEEE SoutheastCon
- From CLV to Action: A Lightweight Framework for Omnichannel Automation and Budget Allocation in SaaSZohra Chebab, Yahia Boukerch · 2026 · Advances in economics, business and management research/Advances in Economics, Business and Management Research
- Artificial Intelligence Enhances Business Intelligence in Retail: A Literature Review Based on Customer Behavior AnalysisYuming Liang · 2026 · Journal of business and marketing.
- Application of Machine Learning for Combinatorial OptimizationGanesh Soni, Niraj Ramesh Dayama · 2026 · Springer eBooks
- Explainable Customer Churn Prediction with Gradient Boosting, SHAP Insights, and Business-Aware ThresholdingTrishita Dhara, Siddhesh Sheth, Aishwarya Budhkar · 2026 · IEEE International Conference on AI and Data Analytics (ICAD)
- Predicting Customer Satisfaction Under Severe Class Imbalance in Online Retail DataFelix Reichel · 2026 · Journal of Consumer Behavior Marketing and Management
- Telecom customer churn prediction: a detailed systematic review of data, methodology, and evaluation methodsHemlata Jain, Ajay Khunteta, Nikita Sharma · 2026 · Telecommunication Systems
- Comprehensive Framework for Data Science-Driven Decision-Making Across Healthcare, Finance, Marketing, and Supply Chain DomainsVasudha Patil, Janhavi Kudal · 2026 · VT International Press Journal of Multidisciplinary Research and Review
- Predictive modeling of user retention based on online behavior in media service platformsJinmei Chen, Dongye Chen · 2026 · Discover Artificial Intelligence
- THE LIVING BAROMETER: A GENERATIVE FRAMEWORK FOR CONTINUOUS SATISFACTION SENSING, ADAPTIVE CROSS-INDUSTRY BENCHMARKING, AND REAL-TIME STRATEGIC CALIBRATIONSemefa Elikplim Dzreke, Simon Suwnazy Dzreke, Evans Dzreke, Franklin Manasey Dzreke · 2026
- Artificial intelligence in marketing analysis and predictive modeling of consumer behavior: an empirical case study using machine learningNupur Chakraborty · 2026 · REVISTA ESMAT
- Systematic Hyperparameter Optimization of Machine Learning Classifiers for Imbalanced Classification: An Empirical Study With Grid Search Cross-ValidationAdel Hidri, Suleiman Ali Alsaif, Muteeb Alahmari, Eman Alshehri, Minyar Sassi Hidri · 2026 · IEEE Access
- Network-based decision support for cold-start user prioritization in P2P platforms: The value of entry-community informationPantelis Loupos, Moran Cerf · 2026 · Decision Support Systems
- Strategi Retensi Nasabah Perbankan Lokal Berbasis Machine Learning: Analisis Perbandingan Algoritma Klasifikasi dan Teknik ResamplingRavensca Matatula, Marchello Gefan Salenussa, Marvelous Marvin Riyoly · 2025 · JUMINTAL Jurnal Manajemen Informatika dan Bisnis Digital
- Predicting The Retention Risk of a Web Series on OTT Using an Ensemble ML ModelRashmil Rajan Saluja · 2026 · International Conference on Computational Intelligence: Methods, Models, and Real-World Applications (ICCIMMR)
- Customer Churn Prediction for SMEs: A Structured Review of Modeling Methods, Business-Centric Evaluation, and Hyperparameter OptimizationChaimae Binjach, Sándor Szénási · 2026 · IEEE International Symposium on Intelligent Systems and Informatics (SISY)