منابع مشابه
Mine Classification with Imbalanced Data
In binary classification problems it is common for the two classes to be imbalanced: one case is very rare compared to the other. Traditional classification approaches usually ignore this class imbalance, causing performance to suffer accordingly. In contrast, the algorithm infinitely imbalanced logistic regression (IILR) algorithm explicitly addresses class imbalance in its formulation. This p...
متن کاملOn Mining Fuzzy Classification Rules for Imbalanced Data
Fuzzy rule-based classification system (FRBCS) is a popular machine learning technique for classification purposes. One of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. However many cases the minority classes are more important than the majority ones. In this paper, we have extended ...
متن کاملOn Mining Fuzzy Classification Rules for Imbalanced Data
Fuzzy rule-based classification system (FRBCS) is a popular machine learning technique for classification purposes. One of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. However many cases the minority classes are more important than the majority ones. In this paper, we have extended ...
متن کاملon mining fuzzy classification rules for imbalanced data
fuzzy rule-based classification system (frbcs) is a popular machine learning technique for classification purposes. one of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. however many cases the minority classes are more important than the majority ones. in this paper, we have extended ...
متن کاملA Hybrid Weighted Nearest Neighbor Approach to Mine Imbalanced Data
Classification of imbalanced data has drawn significant attention from research community in last decade. As the distribution of data into various classes affects the performances of traditional classifiers, the imbalanced data needs special treatment. Modification in learning approaches is one of the solutions to deal with such cases. In this paper a hybrid nearest neighbor learning approach i...
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ژورنال
عنوان ژورنال: IEEE Geoscience and Remote Sensing Letters
سال: 2009
ISSN: 1545-598X,1558-0571
DOI: 10.1109/lgrs.2009.2021964