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On identifying potential direct marketing consumers using adaptive boosted support vector machine
5 references·5 citing·35 second hop
On identifying potential direct marketing consumers using adaptive boosted support vector machine (2017)On identifying potential direct marketing…Feature selection with data balancing for prediction of bank telemarketing (2014)Feature selection with data b…Bank Direct Marketing Analysis of Data Mining Techniques (2014)Bank Direct Marketing Analysi…A data-driven approach to predict the success of bank telemarketing (2014)A data-driven approach to pre…Using data mining for bank direct marketing: an application of the CRISP-DM methodology (2011)Using data mining for bank di…Least squares support vector machines ensemble models for credit scoring (2009)Least squares support vector …Factors influencing green, environmentally-friendly consumer behaviour (2024)Factors influencing green, en…Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning (2024)Enhancing Telemarketing Succe…Data Mining for Potential Customer Segmentation in the Marketing Bank Dataset (2021)Data Mining for Potential Cus…Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning (2020)Class balancing in customer s…Classification of Credit Card Default Clients Using LS-SVM Ensemble (2018)Classification of Credit Card…Data mining for direct marketing: problems and solutions (1998)Decision Support and Business Intelligence Systems (8th Edition) (2006)An Efficient CRM-Data Mining Framework for the Prediction of Customer Behaviour (2015)Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research (2016)Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification (2018)Credit Scoring and Its Applications (2002)Credit scoring with a data mining approach based on support vector machines (2006)A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)Online big data-driven oil consumption forecasting with Google trends (2018)The ensemble approach to forecasting: A review and synthesis (2021)Database marketing:Past, present, and future (1997)Advertising and integrated brand promotion (2009)Data Mining Approach for Direct Marketing of Banking Products with Profit/Cost Analysis (2017)Predicting customer response to bank direct telemarketing campaign (2017)A Machine Learning Framework towards Bank Telemarketing Prediction (2022)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)Economics:Principles in Action (1978)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Classifying the segmentation of customer value via RFM model and RS theory (2008)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Information and reformation in KM systems: big data and strategic decision-making (2017)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)The theory of planned behavior (1991)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)From Confusion to Trust: How Cognitive Factors Shape Green Consumption in Different Market Contexts (2025)Optimizing the prediction of telemarketing target calls by a classification technique (2018)Improving the Accuracy of Predicting Bank Depositor’s Behavior Using a Decision Tree (2021)Customer Segmentation Marketing Strategy Based on Big Data Analysis and Clustering Algorithm (2024)Financial Sector Hyper-Automation (2024)
this work references cited by second hop

References

  • 2014A data-driven approach to predict the success of bank telemarketing875 cited
  • 2011Using data mining for bank direct marketing: an application of the CRISP-DM methodology208 cited
  • 2009Least squares support vector machines ensemble models for credit scoring159 cited
  • 2014Bank Direct Marketing Analysis of Data Mining Techniques80 cited
  • 2014Feature selection with data balancing for prediction of bank telemarketing32 cited

Cited by

  • 2018Classification of Credit Card Default Clients Using LS-SVM Ensemble19 cited
  • 2021Data Mining for Potential Customer Segmentation in the Marketing Bank Dataset16 cited
  • 2020Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning15 cited
  • 2024Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning10 cited
  • 2024Factors influencing green, environmentally-friendly consumer behaviour10 cited

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