Review on Concept Drift Detection Techniques

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Aabha Anil Thakre, Prof. Snehlata Dongre

Abstract

Detecting the changes and reacting on them is an interesting research topic in current era. Concept drift detection is comes under data stream mining. Process which takeout information from data stream which continuously generated called data stream mining. Normally in data set the data is stationary but problem arises when data is continuously generated that is data stream. So in that case the detection of concept drift is an important task. There are various techniques for drift detection. This paper focuses on some main technique of drift detection.

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How to Cite
, A. A. T. P. S. D. (2016). Review on Concept Drift Detection Techniques. International Journal on Recent and Innovation Trends in Computing and Communication, 4(3), 404–407. https://doi.org/10.17762/ijritcc.v4i3.1904
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Articles