Mining unusual data over data streams

Abstract

It is very important in many fields to mining the unusual data over the data streams. I propose algorithm MUD which are able to quickly and accurately find unusual data from the data streams. Recent works on sample method are not suitable for find the unusual data element from the data streams. In this paper, sample algorithm based on dissimilarity matrix is proposed. The extracted data element from data streams build trend of the unusual data with linear regression model. Experiments show that MUD is effective and the model works perfectly.

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