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Framework for Targeting High Value Customers and Potential Churn Customers in Telecom using Big Data Analytics
3 references·4 citing·27 second hop
Framework for Targeting High Value Customers and Potential Churn Customers in Telecom using Big Data Analytics (2016)Framework for Targeting High Value Custom…Big data platform development with a domain specific language for telecom industries (2013)Big data platform development…Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework (2008)Management Support with Struc…Applying data mining to telecom churn management (2005)Applying data mining to telec…From User Behavior to Subscription Sales: An Insight Into E-Book Platform Leveraging Customer Segmentation and A/B Testing (2024)From User Behavior to Subscri…Prediction of Churning Behavior of Customers in Telecom Sector Using Supervised Learning Techniques (2018)Prediction of Churning Behavi…Prediction of Churning Behavior of Customers in Telecom Sector Using Supervised Learning Techniques (2018)Prediction of Churning Behavi…Customer Churn Analysis for Telecom Operators Based on SVM (2017)Customer Churn Analysis for T…Competitive Strategy: Techniques for Analyzing Industries and Competitors (1980)The balanced scorecard: Translating strategy into action (1997)Building a Data Warehouse (2008)Big data and supply chain decisions: the impact of volume, variety and velocity properties on the bullwhip effect (2015)Managing a Big Data project: The case of Ramco Cements Limited (2015)Understanding FinTech start-ups – a taxonomy of consumer-oriented service offerings (2017)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Building Data Mining Applications for CRM (1999)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A survey of results on mobile phone datasets analysis (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)The research of big data architecture on telecom industry (2016)A Survey on Big Data Analytics Technologies (2017)Enhancing Dependability in Big Data Analytics Enterprise Pipelines (2018)Understanding Big Data (2019)Model of Customer Churn Prediction on Support Vector Machine (2008)Customer churn prediction by hybrid neural networks (2009)Telecommunication subscribers' churn prediction model using machine learning (2013)The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment (2015)A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)Is Customer Retention Beneficial for Customers: A Conceptual Background (2016)Customer Churn Prediction in the Telecom Sector (2024)Product Differentiation and Market Segmentation as Alternative Marketing Strategies (1956)Marketing management: analysis. planning. implementation and control (2000)The Effect of Word of Mouth on Sales: Online Book Reviews (2006)The Role of Subcultures in Creating New Social Issues (with an Emphasis on the Context of Old and New Neighborhoods in Tafresh): Qualitative Analysis (2024)
this work references cited by second hop

References

  • 2005Applying data mining to telecom churn management514 cited
  • 2008Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework348 cited
  • 2013Big data platform development with a domain specific language for telecom industries14 cited

Cited by

  • 2018Prediction of Churning Behavior of Customers in Telecom Sector Using Supervised Learning Techniques15 cited
  • 2018Prediction of Churning Behavior of Customers in Telecom Sector Using Supervised Learning Techniques15 cited
  • 2024From User Behavior to Subscription Sales: An Insight Into E-Book Platform Leveraging Customer Segmentation and A/B Testing12 cited
  • 2017Customer Churn Analysis for Telecom Operators Based on SVM11 cited

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