Utilization of Natural Computing Methods for the Classification of Data Streams with Skewed Distribution
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Abstract
In last few years there are major changes and
evolution has been done on classification of data. Classification
of data becomes difficult because of unbounded size and
imbalance nature of data. Class imbalance problem become
greatest issue in data mining. Imbalance problem occur where
one of the two classes having more sample than other classes.
This paper has reviewed various natural computing techniques
for solving the problem of classification basically based on data
streams and skewed method.
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Keywords - Natural Computing, Swarm Optimization
Algorithms, Classifications.
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