Parallel dynamic data-driven model for concept drift detection and prediction-Reference-Cited by-同舟云学术

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Parallel dynamic data-driven model for concept drift detection and prediction

Published:2017-01-30 Issue:2 Volume:32 Page:1413-1426
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Lin Szu-Yin¹,Chiu Yao-Ching²,Lewandowski Jacek³⁴,Chao Kuo-Ming³

Affiliation:

1. Department of Information Management, Chung Yuan Christian University, Taoyuan, Taiwan

2. Institute of Information Management, National Chiao Tung University, Hsin-Chu, Taiwan

3. School of Computing, Electronics and Mathematics, Coventry University, Coventry, UK

4. Department of Genetics, Wroclaw University of Environmental and Life Sciences, Wroclaw, Poland

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference25 articles.

1. That ‘internet of things’ thing;Ashton;RFiD Journal,2009

2. The NIST definition of cloud computing;Mell;National Institute of Standards and Technology,2009

3. McAfee A. and Brynjolfsson E. , Big Data: The Management Revolution, 2012.

4. Social big data: Recent achievements and new challenges;Orgaz;Information Fusion,2016

5. Tsymbal A. , The problem of concept drift: Definitions and related work, Computer Science Department, Trinity College Dublin 106 (2004).

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