A divide-and-conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing
- Published: 26 Oct 2017
- Publisher: Wiley
- Country: Portugal
- Funder: Fundação para a Ciência e a Tecnologia, I.P. (FCT)
- Project Code: 147229
- Funding stream: 5876
Barraza, N. R., Moro, S., Ferreyra, M., & de la Peña, A. (2016). Information Theory based Feature Selection for Customer Classification. In Simposio Argentino de Inteligencia Artificial (ASAI 2016)- JAIIO 45 (Tres de Febrero, 2016).
Barzanti, L., & Giove, S. (2012). A decision support system for fund raising management based on the Choquet integral methodology. Expert Systems, 29(4), 359-373.
Bendre, M. R., & Thool, V. R. (2016). Analytics, challenges and applications in big data environment: a survey. Journal of Management Analytics, 3(3), 206-239. [OpenAIRE]
Chandrashekar, G., & Sahin, F. (2014). A survey on feature selection methods. Computers & Electrical Engineering, 40(1), 16-28.
Chen, T., Xu, R., He, Y., & Wang, X. (2017). Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN. Expert Systems with Applications, 72, 221-230. [OpenAIRE]
Cortez, P. (2010). Data mining with neural networks and support vector machines using the r/rminer tool. In Advances in Data Mining. Applications and Theoretical Aspects (pp. 572-583). Springer.
Cortez, P., & Embrechts, M. J. (2013). Using sensitivity analysis and visualization techniques to open black box data mining models. Information Sciences, 225, 1-17. [OpenAIRE]
Cortez, P., & Santos, M. F. (2015). Recent advances on knowledge discovery and business intelligence. Expert Systems, 32(3), 433-434.
Domingos, P. (2012). A few useful things to know about machine learning. Communications of the ACM, 55(10), 78-87.
Duan, L., & Xu, L. D. (2012). Business intelligence for enterprise systems: a survey. IEEE Transactions on Industrial Informatics, 8(3), 679-687.
Fawcett, T. (2006). An introduction to roc analysis. Pattern recognition letters, 27, 861-874.
Fritsch, J., & Finke, M. (2012). Applying divide and conquer to large scale pattern recognition asks.
In Neural Networks: Tricks of the Trade (pp. 311-338). Springer.
Guyon, I., & Elissee, A. (2003). An introduction to variable and feature selection. The Journal of Machine Learning Research, 3, 1157-1182.
Hastie, T., Tibshirani, R., Friedman, J., Hastie, T., Friedman, J., & Tibshirani, R. (2009). The elements of statistical learning volume 2. Springer.
Related research
- Funder: Fundação para a Ciência e a Tecnologia, I.P. (FCT)
- Project Code: 147229
- Funding stream: 5876
Barraza, N. R., Moro, S., Ferreyra, M., & de la Peña, A. (2016). Information Theory based Feature Selection for Customer Classification. In Simposio Argentino de Inteligencia Artificial (ASAI 2016)- JAIIO 45 (Tres de Febrero, 2016).
Barzanti, L., & Giove, S. (2012). A decision support system for fund raising management based on the Choquet integral methodology. Expert Systems, 29(4), 359-373.
Bendre, M. R., & Thool, V. R. (2016). Analytics, challenges and applications in big data environment: a survey. Journal of Management Analytics, 3(3), 206-239. [OpenAIRE]
Chandrashekar, G., & Sahin, F. (2014). A survey on feature selection methods. Computers & Electrical Engineering, 40(1), 16-28.
Chen, T., Xu, R., He, Y., & Wang, X. (2017). Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN. Expert Systems with Applications, 72, 221-230. [OpenAIRE]
Cortez, P. (2010). Data mining with neural networks and support vector machines using the r/rminer tool. In Advances in Data Mining. Applications and Theoretical Aspects (pp. 572-583). Springer.
Cortez, P., & Embrechts, M. J. (2013). Using sensitivity analysis and visualization techniques to open black box data mining models. Information Sciences, 225, 1-17. [OpenAIRE]
Cortez, P., & Santos, M. F. (2015). Recent advances on knowledge discovery and business intelligence. Expert Systems, 32(3), 433-434.
Domingos, P. (2012). A few useful things to know about machine learning. Communications of the ACM, 55(10), 78-87.
Duan, L., & Xu, L. D. (2012). Business intelligence for enterprise systems: a survey. IEEE Transactions on Industrial Informatics, 8(3), 679-687.
Fawcett, T. (2006). An introduction to roc analysis. Pattern recognition letters, 27, 861-874.
Fritsch, J., & Finke, M. (2012). Applying divide and conquer to large scale pattern recognition asks.
In Neural Networks: Tricks of the Trade (pp. 311-338). Springer.
Guyon, I., & Elissee, A. (2003). An introduction to variable and feature selection. The Journal of Machine Learning Research, 3, 1157-1182.
Hastie, T., Tibshirani, R., Friedman, J., Hastie, T., Friedman, J., & Tibshirani, R. (2009). The elements of statistical learning volume 2. Springer.
Related research
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