On fuzzy-rough sets approach to feature selection-Reference-Cited by-同舟云学术

On fuzzy-rough sets approach to feature selection

Published:2005-05 Issue:7 Volume:26 Page:965-975
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Bhatt Rajen B.,Gopal M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference22 articles.

1. Unsupervised feature selection using neuro-fuzzy approach;Basak;Pattern Recognition Lett.,1998

2. Feature screening using signal-to-noise ratios;Bauer;Neurocomputing,2000

3. Pattern Recognition with Fuzzy Objective Function Algorithm;Bezdek,1981

4. Bhatt, R.B., Gopal, M., 2004. Induction of weighted and interpretable fuzzy classification rules for medical informatics. In: Proceedings of International Conference on Systemics, Cybernetics, and Informatics, ICSCI 2004, February 12–15, Hyderabad, INDIA, pp. 371–376

5. Black, C.L., Merz, C.J., 1998. UCI Repository of machine learning databases; http://www.ics.uci.edu/~mlearn/MLRepository.html. Irvine, CA: University of California, Department of Information and Computer Science

Cited by 144 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Financial Sentiment Analysis with a Hybrid Feature Selection Approach;2024-01-17

2. Feature selection;Fundamentals of Data Science;2024

3. Attribute reduction based on fusion information entropy;International Journal of Approximate Reasoning;2023-09

4. Incremental feature selection with fuzzy rough sets for dynamic data sets;Fuzzy Sets and Systems;2023-09

5. FRS-SIFS: fuzzy rough set session identification and feature selection in web robot detection;International Journal of Machine Learning and Cybernetics;2023-07-10