Study on a Classification Model of Data Stream based on Concept Drift

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Big Data
Format: PDF
In the data stream classification process, in addition to the solution of massive and real-time data stream, the dynamic changes of the need to focus and study. From the angle of detecting concept drift, according to the dynamic characteristics of the data stream. This paper proposes a new classification method for data stream based on the combined use of concept drift detection and classification model. The data stream classification model can't adapt to concept drift problem to solve.
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