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Prediction of Churning Behavior of Customers in Telecom Sector Using Supervised Learning Techniques
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Prediction of Churning Behavior of Customers in Telecom Sector Using Supervised Learning Techniques (2018)Prediction of Churning Behavior of Custom…Data-driven agent-based exploration of customer behavior (2017)Data-driven agent-based explo…Is Customer Retention Beneficial for Customers: A Conceptual Background (2016)Is Customer Retention Benefic…Framework for Targeting High Value Customers and Potential Churn Customers in Telecom using Big Data Analytics (2016)Framework for Targeting High …A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)A Big Data Clustering Algorit…The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment (2015)The Perils of Proactive Churn…Telecommunication subscribers' churn prediction model using machine learning (2013)Telecommunication subscribers…Applying data mining to telecom churn management (2005)Data mining with big data (2013)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Behavioral attributes and financial churn prediction (2018)Optimizing China’s energy consumption structure under energy and carbon constraints (2018)Technology heterogeneity and efficiency of China’s circular economic systems: A game meta-frontier DEA approach (2019)Developing Buyer-Seller Relationships (1987)The Commitment-Trust Theory of Relationship Marketing (1994)The Behavioral Consequences of Service Quality (1996)A Theoretical Perspective of Contract and Contractual Customer-Supplier Relationship in the Mobile Phone Service Sector (2017)Prediction of Churning Behavior of Customers in Telecom Sector Using Supervised Learning Techniques (2018)Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework (2008)Big data platform development with a domain specific language for telecom industries (2013)Customer Churn Analysis for Telecom Operators Based on SVM (2017)From User Behavior to Subscription Sales: An Insight Into E-Book Platform Leveraging Customer Segmentation and A/B Testing (2024)Design and natural science research on information technology (1995)Design Science in Information Systems Research1 (2004)A Design Science Research Methodology for Information Systems Research (2007)Study on convolutional neural network and its application in data mining and sales forecasting for E-commerce (2020)M-GAN-XGBOOST model for sales prediction and precision marketing strategy making of each product in online stores (2021)Design Product-Service Systems by Using a Hybrid Approach: The Fashion Renting Business Model (2022)Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)Save More Tomorrow™: Using Behavioral Economics to Increase Employee Saving (2004)Nudge: improving decisions about health, wealth, and happiness (2008)What drives Gen Y loyalty? Understanding the mediated moderating roles of switching costs and alternative attractiveness in the value-satisfaction-loyalty chain (2017)Why do satisfied customers defect? A closer look at the simultaneous effects of switching barriers and inducements on customer loyalty (2017)Why the family business brand matters: Brand authenticity and the family firm trust inference (2018)Analysis of customer churn prediction in telecom industry using decision trees and logistic regression (2016)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Machine learning based customer churn prediction in home appliance rental business (2023)
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References

  • 2013Telecommunication subscribers' churn prediction model using machine learning140 cited
  • 2015The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment119 cited
  • 2016A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn118 cited
  • 2016Is Customer Retention Beneficial for Customers: A Conceptual Background52 cited
  • 2017Data-driven agent-based exploration of customer behavior47 cited
  • 2016Framework for Targeting High Value Customers and Potential Churn Customers in Telecom using Big Data Analytics17 cited

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