A parallel ant colony algorithm for mining the classification rules is presented. By preprocessing classification information on databases and combining ACO with parallel strategies, our algorithm could extract classification rules efficiently in parallel. Experimental results on several benchmark datasets show that our algorithm can discover classification rules more quickly with better accuracy, simplicity than other methods such as improved Ant-Miner algorithm and C4.5 based on well known decision tree algorithm.
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- Parallel Mining for Classification Rules with Ant Colony Algorithm
- Springer Berlin Heidelberg