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A Novel Attribute Reduction Algorithm of Decomposition Based on Rough Sets
2009
2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery
Attribute reduction is a key task for the research of rough sets. However, when dealing with large-scale data, many existing proposals based on rough set theory get worse performance. In this paper, we propose a novel attribute reduction algorithm of decomposition based on rough sets. The idea of decomposition is to break down a complex table into a super-table and several sub-tables that are simpler, more manageable and solvable by using existing induction methods, then joining them together
doi:10.1109/fskd.2009.97
dblp:conf/fskd/JiaoMZ09
fatcat:inkyhvqjxfcidjfqemmlzz7bwa