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Customer Churn Prediction Model Using Deep Learning
13 references·0 citing·46 second hop
Customer Churn Prediction Model Using Deep Learning (2024)Customer Churn Prediction Model Using Dee…Telecom Churn Prediction based on Deep Learning Approach (2022)Telecom Churn Prediction base…Prediction of Customer Churn in Telecom Industry: A Machine Learning Perspective (2021)Prediction of Customer Churn …ANALYSIS OF CUSTOMER CHURN PREDICTION IN TELECOM INDUSTRY USING LOGISTIC REGRESSION (2021)ANALYSIS OF CUSTOMER CHURN PR…A roadmap to data science: background, future, and trends (2021)A roadmap to data science: ba…Customer Churn Prediction Model and Identifying Features to Increase Customer Retention based on User Generated Content (2020)Customer Churn Prediction Mod…Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)Churn Prediction in Telecommu…Prediction of Customer Churn Using Machine Learning (2019)Prediction of Customer Churn …Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction in …Churn Prediction: A Comparative Study Using KNN and Decision Trees (2019)Churn Prediction: A Comparati…Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning (2018)Customer Churn Prediction Mod…A comparative study of customer churn prediction in telecom industry using ensemble based classifiers (2017)A comparative study of custom…Data Mining Techniques in Customer Churn Prediction (2010)Data Mining Techniques in Cus…New ways of innovation: an application of the cyclic innovation model to the mobile telecom industry (2007)New ways of innovation: an ap…The Fifth Discipline (1990)Towards the Fifth‐generation Innovation Process (1994)The Theory of Economic Development (2003)The Cyclic Innovation Model: A New Challenge for a Regional Approach to Innovation Systems? (2007)Innovating in a Government Context: An Evaluation of a Dutch Water Innovation Program Using the Cyclic Innovation Model (2014)Churn Prediction Based on Customer Segmentation in Banking Industry using Machine Learning Techniques (2024)Turning telecommunications call details to churn prediction: a data mining approach (2002)Applying data mining to telecom churn management (2005)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Dimensionality and data reduction in telecom churn prediction (2014)Improving Customer Churn Classification with Ensemble Stacking Method (2021)Customer churn analysis using XGBoosted decision trees (2022)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)A novel evolutionary data mining algorithm with applications to churn prediction (2003)A Customer Churn Prediction Model in Telecom Industry Using Boosting (2012)An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (2022)ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry (2024)Enhancing customer retention in telecom industry with machine learning driven churn prediction (2024)Customer churn analysis in telecom industry (2015)A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic (2020)Deep Learning as a Vector Embedding Model for Customer Churn (2021)Intelligent Decision Forest Models for Customer Churn Prediction (2022)Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market (2001)Handling class imbalance in customer churn prediction (2008)Customer churn prediction system: a machine learning approach (2021)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Computer assisted customer churn management: State-of-the-art and future trends (2005)Predicting Customer Churn in Mobile Telephony Industry Using Probabilistic Classifiers in Data Mining (2013)Deep learning applications and challenges in big data analytics (2015)Behavior Analysis Using Enhanced Fuzzy Clustering and Deep Learning (2022)A swarm intelligence-based ensemble learning model for optimizing customer churn prediction in the telecommunications sector (2023)Predicting customer loyalty in omnichannel retailing using purchase behavior, socio-cultural factors, and learning techniques (2025)Customer churn prediction in the telecommunication sector using a rough set approach (2016)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)Deep Churn Prediction Method for Telecommunication Industry (2023)Zero defections: quality comes to services. (1990)Building Data Mining Applications for CRM (1999)Leveraging Machine Learning for Customer Intelligence: An Experimental Analysis Learning Classifiers (2023)Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning (2024)A comparison of machine learning techniques for customer churn prediction (2015)An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers (2022)What social media sentiment tells us about why customers churn (2022)Enhancing churn forecasting with sentiment analysis of steam reviews (2024)Business Intelligence and Data Mining: Opportunities and Future (2021)
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References

  • 2019Customer churn prediction in telecom using machine learning in big data platform576 cited
  • 2020Churn Prediction in Telecommunication using Logistic Regression and Logit Boost160 cited
  • 2017A comparative study of customer churn prediction in telecom industry using ensemble based classifiers70 cited
  • 2018Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning59 cited
  • 2007New ways of innovation: an application of the cyclic innovation model to the mobile telecom industry41 cited
  • 2019Prediction of Customer Churn Using Machine Learning35 cited
  • 2021A roadmap to data science: background, future, and trends32 cited
  • 2020Customer Churn Prediction Model and Identifying Features to Increase Customer Retention based on User Generated Content32 cited
  • 2019Churn Prediction: A Comparative Study Using KNN and Decision Trees30 cited
  • 2010Data Mining Techniques in Customer Churn Prediction20 cited
  • 2021Prediction of Customer Churn in Telecom Industry: A Machine Learning Perspective13 cited
  • 2021ANALYSIS OF CUSTOMER CHURN PREDICTION IN TELECOM INDUSTRY USING LOGISTIC REGRESSION11 cited
  • 2022Telecom Churn Prediction based on Deep Learning Approach10 cited

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