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A divide‐and‐conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing
11 references·4 citing·53 second hop
A divide‐and‐conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing (2017)A divide‐and‐conquer strategy using featu…Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach (2016)Predicting social media perfo…Analytics, challenges and applications in big data environment: a survey (2016)Analytics, challenges and app…Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach (2015)Predicting performance in ASE…Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns (2014)Using customer lifetime value…Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Business intelligence in bank…A data-driven approach to predict the success of bank telemarketing (2014)A data-driven approach to pre…Response Modeling in Direct Marketing (2013)Response Modeling in Direct M…Novel feature selection methods to financial distress prediction (2013)Novel feature selection metho…Business Intelligence for Enterprise Systems: A Survey (2012)Business Intelligence for Ent…Consumer Responses to Interactive Advertising Campaigns Coupling Short-Message-Service Direct Marketing and TV Commercials (2005)Consumer Responses to Interac…Principles of Direct And Database Marketing (1998)Principles of Direct And Data…How to improve the success of bank telemarketing? Prediction and interpretability analysis based on machine learning (2022)How to improve the success of…A Machine Learning Framework towards Bank Telemarketing Prediction (2022)A Machine Learning Framework …Data Mining-Based Evaluating the Customer Satisfaction for the Mobile Applications (2019)Data Mining-Based Evaluating …Churn prediction and social neighbour influences for different types of user groups in virtual worlds (2019)Churn prediction and social n…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)The Current State of Business Intelligence (2007)Process Mining (2011)Social media competitive analysis and text mining: A case study in the pizza industry (2013)Recent Development in Big Data Analytics for Business Operations and Risk Management (2016)Explore success factors that impact artificial intelligence adoption on telecom industry in China (2020)A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research (2006)Undertaking a literature review: a step-by-step approach (2008)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Determinants of Default in P2P Lending (2015)Big Data sources and methods for social and economic analyses (2017)Human resources for Big Data professions: A systematic classification of job roles and required skill sets (2017)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Using an ensemble classifier based on sequential floating forward selection for financial distress prediction problem (2016)Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting (2020)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Out-of-sample tests of forecasting accuracy: an analysis and review (2000)RFM and CLV: Using Iso-Value Curves for Customer Base Analysis (2005)Automatic feature weighting for improving financial Decision Support Systems (2018)Predicting online customer purchase: The integration of customer characteristics and browsing patterns (2023)A framework for marketing management (2000)Decision Support and Business Intelligence Systems (2006)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)A Review on Fairness in Machine Learning (2022)The effects of data quality on machine learning performance on tabular data (2025)An Empirical Examination of the Structural Antecedents of Attitude toward the Ad in an Advertising Pretesting Context (1989)Measuring the Intrusiveness of Advertisements: Scale Development and Validation (2002)Permission-based mobile advertising (2002)Consumer attitudes and interactive digital advertising (2009)Evolution of digital marketing communication: Bibliometric analysis and network visualization from key articles (2019)Message content features and social media engagement: evidence from the media industry (2019)Multiple Attribute Decision Making (1981)Multiple Attribute Decision Making: Methods and Applications (1981)A Novel Integrated Subjective-Objective MCDM Model for Alternative Ranking in Order to Achieve Business Excellence and Sustainability (2020)Dynamic network DEA and SFA models for accounting and financial indicators with an analysis of super-efficiency in stochastic frontiers: An efficiency comparison in OECD banking (2020)Ranking-based MCDM models in financial management applications: analysis and emerging challenges (2020)Another look at measures of forecast accuracy (2006)Social media: The new hybrid element of the promotion mix (2009)Users of the world, unite! 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this work references cited by second hop

References

  • 2014A data-driven approach to predict the success of bank telemarketing875 cited
  • 2014Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation330 cited
  • 2012Business Intelligence for Enterprise Systems: A Survey254 cited
  • 2016Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach226 cited
  • 2013Novel feature selection methods to financial distress prediction129 cited
  • 2005Consumer Responses to Interactive Advertising Campaigns Coupling Short-Message-Service Direct Marketing and TV Commercials100 cited
  • 2016Analytics, challenges and applications in big data environment: a survey81 cited
  • 2015Predicting performance in ASEAN banks: an integrated fuzzy MCDM–neural network approach74 cited
  • 2014Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns54 cited
  • 1998Principles of Direct And Database Marketing53 cited
  • 2013Response Modeling in Direct Marketing37 cited

Cited by

  • 2022A Machine Learning Framework towards Bank Telemarketing Prediction25 cited
  • 2022How to improve the success of bank telemarketing? Prediction and interpretability analysis based on machine learning18 cited
  • 2019

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Churn prediction and social neighbour influences for different types of user groups in virtual worlds
17 cited
  • 2019Data Mining-Based Evaluating the Customer Satisfaction for the Mobile Applications15 cited