Harsha Parmar

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Data mining refers to mining knowledge from large amount of data. Classification is most frequent problem of data mining. Classification is task of predicting the class of unclassified data. Classification is a two phase process: training phase and testing phase. From training phase classifier model is generated. Next at testing phase predicting the class(More)
Data mining can find the significant chances of frequency between two datasets. It is useful for obtaining knowledge full information from the datasets. It is possible to find significant frequency changes between multiple datasets. This type of knowledge mining is known as Contrast mining. Pattern which is present in one dataset has low frequency and at(More)
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