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Agricultural research has been profited by technical advances such as automation, data mining. Today ,data mining is used in a vast areas and many off-the-shelf data mining system products and domain specific data mining application soft wares are available, but data mining in agricultural soil datasets is a relatively a young research field. The large(More)
The data streams in various real life applications are characterized by concept drift. Such data streams may also be characterized by skewed or imbalance class distributions for example Financial fraud detection, Network intrusion detection etc. In such cases skewed class distribution of the stream increases the problems associated with classifying stream(More)
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