A novel Neuro-fuzzy classification technique for data mining
نویسندگان
چکیده
منابع مشابه
On 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 ...
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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 ...
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Data mining is a technique for discovering hidden knowledge of strategic importance from large databases. This technique is currently being successfully used by a number of real-world applications. Data mining is a tool for increasing the productivity of people trying to build predictive models. Both disciplines have been working on problems of pattern recognition and classification. Rule induc...
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ژورنال
عنوان ژورنال: Egyptian Informatics Journal
سال: 2014
ISSN: 1110-8665
DOI: 10.1016/j.eij.2014.08.001