Shih-Wen Ke
About
Shih-Wen Ke has authored 11 papers that have received a total of 483 indexed citations.
This includes 6 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Accounting. The topics of these papers are Imbalanced Data Classification Techniques (3 papers), Data Mining Algorithms and Applications (3 papers) and Machine Learning and Data Classification (3 papers). Shih-Wen Ke is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Data Mining Algorithms and Applications (3 papers) and Machine Learning and Data Classification (3 papers) and collaborates with scholars based in Taiwan and United Kingdom. Shih-Wen Ke's co-authors include Chih‐Fong Tsai, Wei‐Chao Lin, Ya‐Han Hu, Min‐Wei Huang and Li-Yu Hu and has published in prestigious journals such as PLoS ONE, SpringerPlus and Online Information Review
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