SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream
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Updated
Dec 25, 2017 - Java
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classifier-confidence
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ECHO is a semi-supervised framework for classifying evolving data streams based on our previous approach SAND. The most expensive module of SAND is the change detection module, which has cubic time complexity. ECHO uses dynamic programming to reduce the time complexity. Moreover, ECHO has a maximum allowable sliding window size. If there is no c…
classification
dynamic-programming
semi-supervised
datastream
uncertainty-sampling
classifier-confidence
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Updated
Dec 25, 2017 - Java
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