Adaptive parameter control strategy for ant-miner classification algorithm

Pruning is the popular framework for preventing the dilemma of over fitting noisy data. This paper presents a new hybrid Ant-Miner classification algorithm and ant colony system (ACS), called ACS-Ant Miner. A key aspect of this algorithm is the selection of an appropriate number of terms to be inc...

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書誌詳細
主要な著者: Al-Behadili, Hayder Naser Khraibet, Sagban, Rafid, Ku-Mahamud, Ku Ruhana
フォーマット: 論文
言語:English
出版事項: Institute of Advanced Engineering and Science 2020
主題:
オンライン・アクセス:http://repo.uum.edu.my/27854/1/IJEEI%208%201%202020%20149%20162.pdf
http://repo.uum.edu.my/27854/
http://section.iaesonline.com/index.php/IJEEI/article/view/1423
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