Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India
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چکیده
منابع مشابه
Data Mining for Evolving Fuzzy Association Rules for Predicting Monsoon Rainfall of India
We used a data mining algorithm to evolve fuzzy association rules between the atmospheric indices and the Summer Monsoon Rainfall of All-India and two homogenous regions (Peninsular and West central). El Nino and Southern Oscillation (ENSO) and Equatorial Indian Ocean Oscillation zonal wind index (EQWIN) indices are used as the causative variables. Rules extracted are showing a negative relatio...
متن کاملFuzzy Association Rules for Prediction of Monsoon Rainfall
A fuzzy association rule algorithm is implemented to extract the relationship between the atmospheric indices and the Indian Summer Monsoon Rainfall (ISMR). ENSO and EQWIN indices are used as the causative variables. Rules extracted are showing a negative relationship with ENSO index and a positive relationship with the EQWIN index. A fuzzy rule based prediction technique is also implemented on...
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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 ...
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 ...
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ژورنال
عنوان ژورنال: Journal of Intelligent Systems
سال: 2009
ISSN: 2191-026X,0334-1860
DOI: 10.1515/jisys.2009.18.3.193