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Many data mining techniques have been proposed for mining useful patterns in text documents. However, how to effectively use and update discovered patterns is still an open research issue, especially in the field of text mining. This survey paper is based on effective classification of streamed data for text mining by PNLH & one-class classification SVM for text contained audit, we consider the problem of one-class classification of text streams with respect to concept drift where a largedoi:10.5120/13075-7334 fatcat:6zjnfjkgljg7dlocyjp4flbgvq