AN OVERVIEW ON DATA MINING DESIGNED FOR IMBALANCED DATASETS
نویسندگان
چکیده
منابع مشابه
Data Mining for Imbalanced Datasets: An Overview
A dataset is imbalanced if the classification categories are not approximately equally represented. Recent years brought increased interest in applying machine learning techniques to difficult "real-world" problems, many of which are characterized by imbalanced data. Additionally the distribution of the testing data may differ from that of the training data, and the true misclassification costs...
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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 ...
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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 ...
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ژورنال
عنوان ژورنال: International Journal of Research in Engineering and Technology
سال: 2014
ISSN: 2321-7308,2319-1163
DOI: 10.15623/ijret.2014.0310034