Performance of tree algorithms on imbalanced data under different sampling strategies

碩士 === 國立清華大學 === 服務科學研究所 === 107 === Imbalanced data are common in real-world applications and methods to tackle imbalanced issues have been developed since around 2000. Sampling methods and ensemble algorithms are popular techniques for classifying imbalanced data. Previous work has compared the e...

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Bibliographic Details
Main Authors: Chen, Hsing-Chun, 陳幸君
Other Authors: Shmueli, Galit
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/3aqbms