Computer Science
8 years ago

New algorithm speeds up attribute reduction in dynamic decision tables.

Computer Engineering and Applications Journal
Incremental algorithms for attribute reduction based on discernibility matrix and reduction tree
Liu Feng-nian

Paper Summary

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The article introduces a new method to quickly reduce attributes in decision tables. By using discernibility matrix and reduction tree, the algorithm efficiently identifies important attributes. This approach simplifies the process and improves the speed of updating attribute reduction. The method was tested with examples and found to be effective and practical.