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Data mining with an ant colony optimization algorithm
2002
IEEE Transactions on Evolutionary Computation
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This work proposes an algorithm for data mining called Ant-Miner (Ant Colony-based Data Miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is inspired by both research on the behavior of real ant colonies and some data mining concepts and principles. We compare the performance of Ant-Miner with CN2, a well-known data mining algorithm for classification, in six public domain data sets. The results provide evidence that: (a) Ant-Miner is competitive with CN2
doi:10.1109/tevc.2002.802452
fatcat:yxrqzgsp3re7tibmodkq7od3tm