Maximum Relevancy and Minimum Redundancy Based Ensemble Feature Selection Model for Effective Classification
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2980-9_11
Reference41 articles.
1. Charitopoulos, A., Rangoussi, M., Koulouriotis, D.: On the use of soft computing methods in educational data mining and learning analytics research: a review of years 2010–2018. Int. J. Artif. Intell. Educ. 30(3), 371–430 (2020)
2. Verma, D., Mishra, N.: Analysis and prediction of breast cancer and diabetes disease datasets using data mining classification techniques. In: International Conference on Intelligent Sustainable Systems, pp. 533–538. IEEE (2017)
3. Han, J., Pei, J., Kamber, M.: Data Mining: Concepts and Techniques. Elsevier (2011)
4. Mafarja, M.M., Mirjalili, S.: Hybrid whale optimization algorithm with simulated annealing for feature selection. Neurocomputing 260, 302–312 (2017)
5. Nousi, C., Belogianni, P., Koukaras, P., Tjortjis, C.: Mining data to deal with epidemics: case studies to demonstrate real world AI applications. In: Handbook of Artificial Intelligence in Healthcare, pp. 287–312. Springer, Cham (2022)
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