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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kudo, Y. Murai, T. |
| Copyright Year | 2010 |
| Abstract | We propose a heuristic algorithm to compute as many relative reducts as possible from a decision table with numerous condition attributes. The proposed algorithm is based on generating many reduced decision tables that preserve discernibility of objects in the given decision table. Moreover, the proposed algorithm switches exhaustive attribute reduction and heuristic attribute reduction by the number of condition attributes in decision tables. Experimental results indicate that the proposed algorithm can generate many relative reducts from datasets that are difficult to compute all relative reducts. |
| Starting Page | 265 |
| Ending Page | 270 |
| File Size | 183712 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424479641 |
| DOI | 10.1109/GrC.2010.147 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis heuristic algorithm Annealing Data analysis Heuristic algorithms Switches Delta modulation rough set attribute reduction Approximation methods reduced decision table |
| Content Type | Text |
| Resource Type | Article |
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