A self‐adaptive synthetic over‐sampling technique for imbalanced classification
نویسندگان
چکیده
منابع مشابه
Oversampling Method for Imbalanced Classification
Classification problem for imbalanced datasets is pervasive in a lot of data mining domains. Imbalanced classification has been a hot topic in the academic community. From data level to algorithm level, a lot of solutions have been proposed to tackle the problems resulted from imbalanced datasets. SMOTE is the most popular data-level method and a lot of derivations based on it are developed to ...
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ژورنال
عنوان ژورنال: International Journal of Intelligent Systems
سال: 2020
ISSN: 0884-8173,1098-111X
DOI: 10.1002/int.22230