Feature Selection for Multi-Class Imbalanced Data Sets Based on Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Adapted ensemble classification algorithm based on multiple classifier system and feature selection for classifying multi-class imbalanced data
Learning from imbalanced data, where the number of observations in one class is significantly rarer than in other classes, has gained considerable attention in the data mining community. Most existing literature focuses on binary imbalanced case while multi-class imbalanced learning is barely mentioned. What’s more, most proposed algorithms treated all imbalanced data consistently and aimed to ...
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ژورنال
عنوان ژورنال: Annals of Data Science
سال: 2015
ISSN: 2198-5804,2198-5812
DOI: 10.1007/s40745-015-0060-x