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Data-centric intelligent computing

journal contribution
posted on 23.04.2019, 00:00 by J Shen, CC Hung, G Beydoun, Y Li, Wanwu GuoWanwu Guo
In the age of Big Data and Internet of Things the integration of traditional and contemporary intelligent computing techniques continues to play an increasingly vital role in data analysis, real-time control and operation, decision making, and system evaluation and forecasting. Many computational intelligence methods and techniques, such as fuzzy logic and genetic algorithms, were initially proposed to deal with a certain type of datasets, whose success then led to the generalization of many algorithms that can deal with common types of datasets.

History

Volume

11

Issue

1

Start Page

616

End Page

617

eISSN

1875-6883

ISSN

1875-6891

Additional Rights

CC BY-NC 4.0

Peer Reviewed

Yes

Open Access

Yes

External Author Affiliations

University of Southern Queensland; University of Wollongong; Kennesaw State University, USA; University of Technology Sydney

Author Research Institute

Centre for Intelligent Systems

Era Eligible

No

Journal

International Journal of Computational Intelligence Systems