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CDDM: Concept Drift Detection Model for Data Stream

Authors : Mashail Althabiti; Manal Abdullah

Subjects: Data stream; Concept drift; Computer Networks and Communications

Source: International Journal of Interactive Mobile Technologies, Vol 14, Iss 10, Pp 90-106 (2020)International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 10 (2020); pp. 90-106

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Analyzing and Repairing Concept Drift Adaptation in Data Stream Classification

Authors : Mykola Pechenizkiy; Russel Pears; Ben Halstead ...

Subjects: Data stream; Concept drift; Computer science

Source: DSAAMachine Learning, 111(10), 3489-3523. Springer

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An Incremental Kernel Extreme Learning Machine for Multi-Label Learning With Emerging New Labels

Authors : Yanika Kongsorot; Punyaphol Horata; Pakarat Musikawan

Subjects: General Computer Science; Computer science; business.industry

Source: IEEE Access, Vol 8, Pp 46055-46070 (2020)

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Fast Learning and Testing for Imbalanced Multi-Class Changes in Streaming Data by Dynamic Multi-Stratum Network

Authors : Saichon Jaiyen; Suphakant Phimoltares; Mongkhon Thakong

Subjects: General Computer Science; Computer science; 02 engineering and technology

Source: IEEE Access, Vol 5, Pp 10633-10648 (2017)

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An Ensemble Extreme Learning Machine for Data Stream Classification

Authors : Shuliang Xu; Rui Yang; Lin Feng

Subjects: Data stream; lcsh:T55.4-60.8; Concept drift

Source: AlgorithmsVolume 11Issue 7Algorithms, Vol 11, Iss 7, p 107 (2018)

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Distributed Classification of Data Streams: An Adaptive Technique

Authors : Alfredo Cuzzocrea; Mohamed Medhat Gaber; Ary Mazharuddin Shiddiqi ...

Subjects: Data stream; Dynamic time warping; Theoretical computer science

Source: Big Data Analytics and Knowledge Discovery ISBN: 9783319227283DaWaKBig Data Analytics and Knowledge Discovery-17th

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