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Optimizing the prediction of telemarketing target calls by a classification technique
9 references·1 citing·39 second hop
Optimizing the prediction of telemarketing target calls by a classification technique (2018)Optimizing the prediction of telemarketin…Using Data Mining Techniques for Detecting the Important Features of the Bank Direct Marketing Data (2017)Using Data Mining Techniques …An Efficient CRM-Data Mining Framework for the Prediction of Customer Behaviour (2015)An Efficient CRM-Data Mining …Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns (2014)Using customer lifetime value…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…Application of data mining techniques in customer relationship management: A literature review and classification (2008)Application of data mining te…Linking innovative product development with customer knowledge: a data-mining approach (2005)Linking innovative product de…Identifying Long-Term Deposit Customers: A Machine Learning Approach (2021)Identifying Long-Term Deposit…Data mining for direct marketing: problems and solutions (1998)Decision Support and Business Intelligence Systems (8th Edition) (2006)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)Coefficient Alpha and the Internal Structure of Tests (1951)Fuzzy sets (1996)The Knowledge-Creating Company (1998)The impact of customer relationship management capability on innovation and performance advantages: testing a mediated model (2010)Information Technology and Product/Service Innovation: A Brief Assessment and Some Suggestions for Future Research (2013)Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics (2020)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Effect of IoT Capabilities and Energy Consumption behavior on Green Supply Chain Integration (2018)AI-enabled Enterprise Information Systems for Manufacturing (2021)Customer Relationship Management Research from 2000 to 2020: An Academic Literature Review and Classification (2021)Out-of-sample tests of forecasting accuracy: an analysis and review (2000)RFM and CLV: Using Iso-Value Curves for Customer Base Analysis (2005)Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach (2016)Automatic feature weighting for improving financial Decision Support Systems (2018)Predicting online customer purchase: The integration of customer characteristics and browsing patterns (2023)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)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)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)Exploratory Factor Analysis: A Five-Step Guide for Novices (2010)On identifying potential direct marketing consumers using adaptive boosted support vector machine (2017)Improving the Accuracy of Predicting Bank Depositor’s Behavior Using a Decision Tree (2021)A data modeling approach for classification problems (2019)Bank Marketing Data Mining using CRISP-DM Approach (2019)A decision support system based on machined learned Bayesian network for predicting successful direct sales marketing (2021)
this work references cited by second hop

References

  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,267 cited
  • 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
  • 2005Linking innovative product development with customer knowledge: a data-mining approach202 cited
  • 2015An Efficient CRM-Data Mining Framework for the Prediction of Customer Behaviour118 cited
  • 2014Bank Direct Marketing Analysis of Data Mining Techniques80 cited
  • 2014Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns54 cited
  • 2014Feature selection with data balancing for prediction of bank telemarketing32 cited
  • 2017Using Data Mining Techniques for Detecting the Important Features of the Bank Direct Marketing Data23 cited

Cited by

  • 2021Identifying Long-Term Deposit Customers: A Machine Learning Approach11 cited

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