Department of Computer Science and Engineering, MGM’s College of Engineering, SRTMUN University, Nanded
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Classification of Concept Drifting Data Streams Using Adaptive Novel-Class Detection
Published in International Journal of Computer Engineering in Research Trends
to detect more than one novel-class simultaneously. This approach solves feature-evolution problem by using feature set homogenization technique. Experiments done on Twitter data set and got reduced ERR rate and increased detection rate as a result. This approach is very effective as compared with existing data stream classification techniques.