Efficient and Fast Algorithm for Attribute Reduction of Large Dimensional Data Using Rough Set Theory on Graphics Processing Unit
Author:
Funder
Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India.
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-024-09147-7.pdf
Reference52 articles.
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3. Pawlak, Z.: Rough sets. Int. J. Comput. Inf. Sci. 11(5), 341–356 (1982). https://doi.org/10.1007/BF01001956/METRICS
4. Thangavel, K.; Pethalakshmi, A.: Dimensionality reduction based on rough set theory: a review. Appl. Soft Comput. J. (2009). https://doi.org/10.1016/j.asoc.2008.05.006
5. Han, Z.; Zhang, Q.; Wen, F.: A survey on rough set theory and its applications. CAAI Trans. Intell. Technol. 1(4), 323–333 (2016). https://doi.org/10.1016/J.TRIT.2016.11.001
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