OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-04747-3_22
Reference15 articles.
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2. Bifet, A., Gavalda, R.: Learning from time-changing data with adaptive windowing. In: Proc. of the 7th SIAM International Conference on Data Mining (SDM 2007), pp. 443–448 (2007)
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1. Incremental Rule-Based Learners for Handling Concept Drift: An Overview;Foundations of Computing and Decision Sciences;2013-03-01
2. Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift;ACM SIGKDD Explorations Newsletter;2010-05-27
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