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Comparative Study of Random Forest and Neural Network for Prediction in Direct Marketing
6 references·1 citing·32 second hop
Comparative Study of Random Forest and Neural Network for Prediction in Direct Marketing (2018)Comparative Study of Random Forest and Ne…Evaluation of Classification and Ensemble Algorithms for Bank Customer Marketing Response Prediction (2016)Evaluation of Classification …Classification and Prediction of Stock Market Index Based on Fuzzy Metagraph (2015)Classification and Prediction…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…Direct marketing decision support through predictive customer response modeling (2012)Direct marketing decision sup…Data mining for direct marketing: problems and solutions (1998)Data mining for direct market…Comparative Study of Machine Learning Algorithms for Portuguese Bank Data (2021)Comparative Study of Machine …Decision support systems and intelligent systems (1997)Evolving to a New Dominant Logic for Marketing (2003)Application of data mining techniques in customer relationship management: A literature review and classification (2008)The influence of reviewer engagement characteristics on online review helpfulness: A text regression model (2014)On the brink: Predicting business failure with mobile location-based checkins (2015)Managing the risks of artificial intelligence in agriculture (2021)Database marketing:Past, present, and future (1997)Advertising and integrated brand promotion (2009)Using data mining for bank direct marketing: an application of the CRISP-DM methodology (2011)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)Business Analytics in Telemarketing: Cost-Sensitive Analysis of Bank Campaigns Using Artificial Neural Networks (2020)Data Pre-Processing Algorithm for Neural Network Binary Classification Model in Bank Tele-Marketing (2020)Identifying Long-Term Deposit Customers: A Machine Learning Approach (2021)Forecasting stock market movement direction with support vector machine (2004)A TSK type fuzzy rule based system for stock price prediction (2006)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Stock Price Movements Classification Using Machine and Deep Learning Techniques-The Case Study of Indian Stock Market (2019)Exploring the effectiveness of deep neural networks with technical analysis applied to stock market prediction (2021)A developed stock price forecasting model using support vector machine combined with metaheuristic algorithms (2022)Handling class imbalance in customer churn prediction (2008)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Credit Risk Analysis Using Machine and Deep Learning Models (2018)A decision support system based on machined learned Bayesian network for predicting successful direct sales marketing (2021)What drives a donor? A machine learning‐based approach for predicting responses of nonprofit direct marketing campaigns (2021)Predictive Modeling of Customer Response to Marketing Campaigns (2024)
this work references cited by second hop

References

  • 2014A data-driven approach to predict the success of bank telemarketing875 cited
  • 1998Data mining for direct marketing: problems and solutions658 cited
  • 2014Bank Direct Marketing Analysis of Data Mining Techniques80 cited
  • 2012Direct marketing decision support through predictive customer response modeling77 cited
  • 2015Classification and Prediction of Stock Market Index Based on Fuzzy Metagraph75 cited
  • 2016Evaluation of Classification and Ensemble Algorithms for Bank Customer Marketing Response Prediction21 cited

Cited by

  • 2021Comparative Study of Machine Learning Algorithms for Portuguese Bank Data12 cited

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