Improved classification of large imbalanced data sets using rationalized technique: Updated Class Purity Maximization Over_Sampling Technique (UCPMOT)
نویسندگان
چکیده
منابع مشابه
An Improved Algorithm for SVMs Classification of Imbalanced Data Sets
Support Vector Machines (SVMs) have strong theoretical foundations and excellent empirical success in many pattern recognition and data mining applications. However, when induced by imbalanced training sets, where the examples of the target class (minority) are outnumbered by the examples of the non-target class (majority), the performance of SVM classifier is not so successful. In medical diag...
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ژورنال
عنوان ژورنال: Journal of Big Data
سال: 2017
ISSN: 2196-1115
DOI: 10.1186/s40537-017-0108-1