Efficient feature selection for inconsistent heterogeneous information systems based on a grey wolf optimizer and rough set theory
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-021-06375-z.pdf
Reference43 articles.
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2. Abualigah LM, Khader AT, Hanandeh ES (2018) A new feature selection method to improve the document clustering using particle swarm optimization algorithm. J Comput Sci 25:456–466. https://doi.org/10.1016/j.jocs.2017.07.018
3. Agrawal RK, Kaur B, Sharma S (2020) Quantum based whale optimization algorithm for wrapper feature selection. Applied Soft Computing 89. https://doi.org/10.1016/j.asoc.2020.106092
4. Al-Tashi Q, Kadir S, Rais HM, Mirjalili S, Alhussian H (2019) Binary optimization using hybrid grey wolf optimization for feature selection. IEEE Access 7:39496–39508. https://doi.org/10.1109/ACCESS.2019.2906757
5. Al-Tashi H, Jadid S, Rais H, Mirjalili S (2020) Approaches to multi-objective feature selection: a systematic literature review. IEEE Access 8:125076–125096
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