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Prediction of Customer Behavior Changing via a Hybrid Approach
16 references·0 citing·50 second hop
Prediction of Customer Behavior Changing via a Hybrid Approach (2023)Prediction of Customer Behavior Changing …An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes (2023)An adaptive learning approach…Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning (2021)Predictive analytics for cust…Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)Integrated Churn Prediction a…RFM model for customer purchase behavior using K-Means algorithm (2019)RFM model for customer purcha…Customers Segmentation in the Insurance Company (TIC) Dataset (2018)Customers Segmentation in the…Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in …Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods (2018)Cross-company customer churn …A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)A Big Data Clustering Algorit…A comparison of machine learning techniques for customer churn prediction (2015)A comparison of machine learn…Segmentation of telecom customers based on customer value by decision tree model (2011)Segmentation of telecom custo…Estimating customer future value of different customer segments based on adapted RFM model in retail banking context (2011)Estimating customer future va…Empirical validation and comparison of models for customer base analysis (2007)Empirical validation and comp…“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model (2005)“Counting Your Customers” the…Customer lifetime value: Marketing models and applications (1998)Customer lifetime value: Mark…Customer lifetime valuation to support marketing decision making (1989)Customer lifetime valuation t…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Turning telecommunications call details to churn prediction: a data mining approach (2002)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Customer churn prediction in the telecommunication sector using a rough set approach (2016)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Customer churn prediction system: a machine learning approach (2021)Counting Your Customers: Who-Are They and What Will They Do Next? 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(2000)Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China (2009)An Empirical Study on Customer Segmentation by Purchase Behaviors Using a RFM Model and K-Means Algorithm (2020)From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets (2021)Deep Churn Prediction Method for Telecommunication Industry (2023)Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining (2012)Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review (2016)A multidisciplinary perspective of big data in management research (2017)Customer segmentation by web content mining (2021)RFM model customer segmentation based on hierarchical approach using FCA (2023)Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market (2001)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy (2022)Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)Conceptualizing the Integrated Marketing Communications' Phenomenon: An Examination of its Impact on Advertising Practices and its Implications for Advertising Research (1994)The loyalty ripple effect (1999)Customer Lifetime Value: Empirical Generalizations and Some Conceptual Questions (2009)
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References

  • 1998Customer lifetime value: Marketing models and applications975 cited
  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2015A comparison of machine learning techniques for customer churn prediction470 cited
  • 2005“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model454 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2019RFM model for customer purchase behavior using K-Means algorithm210 cited
  • 1989Customer lifetime valuation to support marketing decision making188 cited
  • 2021Integrated Churn Prediction and Customer Segmentation Framework for Telco Business141 cited
  • 2016A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn118 cited
  • 2018Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods102 cited
  • 2011Estimating customer future value of different customer segments based on adapted RFM model in retail banking context90 cited
  • 2007Empirical validation and comparison of models for customer base analysis84 cited
  • 2023An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes76 cited
  • 2011

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Segmentation of telecom customers based on customer value by decision tree model
71 cited
  • 2018Customers Segmentation in the Insurance Company (TIC) Dataset58 cited
  • 2021Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning55 cited
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