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- W106616089 abstract "This paper presents a new ant-based algorithm for the multi-objective classification problem. The new algorithm called MulO-AntMiner (Multi-Objective Ant-Miner) is an improved version of the Ant-Miner algorithm, the first implementation of the ant colony algorithm for discovering classification rules. The fundamental principles in the proposed algorithm are almost similar to those in original Ant-Miner; even though, in our work there are two or more class attributes to be predicted. As a result, the consequent of a classification rule contains multiple predictions, each prediction involving a different class attribute. We have compared the performance of MulO-AntMiner with two other algorithms namely the C4.5 algorithm and the original Ant-Miner.KeywordsMachine LearningClassification RulesMetaheuristicsAnt Colony Optimization" @default.
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- W106616089 date "2011-01-01" @default.
- W106616089 modified "2023-10-04" @default.
- W106616089 title "MulO-AntMiner: A New Ant Colony Algorithm for the Multi-objective Classification Problem" @default.
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- W106616089 doi "https://doi.org/10.1007/978-3-642-21887-3_45" @default.
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