Ensemble Classifier for Mining Data Streams
نویسندگان
چکیده
منابع مشابه
An adaptive ensemble classifier for mining concept drifting data streams
Traditional data mining techniques cannot be directly applied to the real-time data streaming environment. Existing mining classifiers therefore need to be updated frequently to adopt the changes in data streams. In this paper, we address this issue and propose an adaptive ensemble approach for classification and novel class detection in concept-drifting data streams. The proposed approach uses...
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a Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China b Centre for Quantum Computation & Intelligent Systems, University of Technology Sydney, Broadway, NSW 2007, Australia c Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, China d College of Information Science & Technology, Univ. of Nebraska at Omaha, Omaha, NE 68...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2014
ISSN: 1877-0509
DOI: 10.1016/j.procs.2014.08.120