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Dimensionality and data reduction in telecom churn prediction
9 references·0 citing·48 second hop
Dimensionality and data reduction in telecom churn prediction (2014)Dimensionality and data reduction in tele…Linear versus nonlinear dimensionality reduction for banks’ credit rating prediction (2013)Linear versus nonlinear dimen…Predicting stock returns by classifier ensembles (2010)Predicting stock returns by c…Data Mining Techniques in Customer Churn Prediction (2010)Data Mining Techniques in Cus…Variable selection by association rules for customer churn prediction of multimedia on demand (2009)Variable selection by associa…Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …Feature selection in bankruptcy prediction (2008)Feature selection in bankrupt…Application of data mining techniques in customer relationship management: A literature review and classification (2008)Application of data mining te…The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)The effects of customer satis…The Design and Validation of a Hybrid Information System for the Auditor’s Going Concern Decision (1998)The Design and Validation of …Building Data Mining Applications for CRM (1999)Applying data mining to telecom churn management (2005)Dynamic churn prediction framework with more effective use of rare event data: The case of private banking (2014)Developing a prediction model for customer churn from electronic banking services using data mining (2016)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Two credit scoring models based on dual strategy ensemble trees (2011)The effect of feature selection on financial distress prediction (2014)Financial credit risk assessment: a recent review (2015)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Forecasting with artificial neural networks: (1998)Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry (2016)Customer churn prediction in telecommunication industry using data certainty (2018)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)The analysis of antecedents of customer loyalty in the Turkish mobile telecommunication market (2005)How quality, value, image, and satisfaction create loyalty at a Chinese telecom (2008)Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration (2008)Satisfaction: a behavioral perspective on the consumer (2010)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)The role of non-financial factors in internal credit ratings (2004)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Predicting corporate investment/non-investment grade by using interval-valued fuzzy rule-based systems—A cross-region analysis (2017)Real-time inflation forecasting using non-linear dimension reduction techniques (2022)Turning telecommunications call details to churn prediction: a data mining approach (2002)Improving Customer Churn Classification with Ensemble Stacking Method (2021)Customer churn analysis using XGBoosted decision trees (2022)Predicting Customer Churn on OTT Platforms (2022)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Stock market prediction system with modular neural networks (1990)The use of data mining and neural networks for forecasting stock market returns (2005)Automated trading with performance weighted random forests and seasonality (2013)A novel data-driven stock price trend prediction system (2017)An improved Stacking framework for stock index prediction by leveraging tree-based ensemble models and deep learning algorithms (2019)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Decision Support and Business Intelligence Systems (2006)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Big data and disaster management: a systematic review and agenda for future research (2017)A survey towards an integration of big data analytics to big insights for value-creation (2018)A Multivariate Analysis of the Auditor's Going-Concern Opinion Decision (1985)ASSESSING THE VULNERABILITY TO FAILURE OF AMERICAN INDUSTRIAL FIRMS: A LOGISTIC ANALYSIS (1985)Dimensions of Consumer Expertise (1987)An Analysis of Fuzzy Clustering and a Hybrid Model for the Auditor's Going Concern Assessment* (2000)Modeling the Audit Opinions Issued to Bankrupt Companies: A Two‐stage Empirical Analysis* (2000)A Method for Generation of Alternatives by Decision Support Systems (2001)
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References

  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,267 cited
  • 2004The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services970 cited
  • 2009Customer churn prediction by hybrid neural networks321 cited
  • 2008Feature selection in bankruptcy prediction246 cited
  • 2010Predicting stock returns by classifier ensembles169 cited
  • 2009Variable selection by association rules for customer churn prediction of multimedia on demand115 cited
  • 1998The Design and Validation of a Hybrid Information System for the Auditor’s Going Concern Decision47 cited
  • 2013Linear versus nonlinear dimensionality reduction for banks’ credit rating prediction40 cited
  • 2010Data Mining Techniques in Customer Churn Prediction20 cited

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