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- W2185393301 abstract "Classification is one of the most studied data mining tasks. Many literatures stated that predictive accuracy resulted by classification in data mining tends to be lower compared with the classification combined with optimization. The objective of this study is to estimate Dry Docking duration based on classification by using two methods; CART and Ant-Miner. It is shown that CART gives more accurate classification model than Ant-Miner with static discretization." @default.
- W2185393301 created "2016-06-24" @default.
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- W2185393301 date "2014-01-01" @default.
- W2185393301 modified "2023-09-26" @default.
- W2185393301 title "Classification of Dry Docking Duration Based on Ant-Miner Algorithm" @default.
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- W2185393301 hasPublicationYear "2014" @default.
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