Data-Centric Intelligent Computing CQU.pdf (649.35 kB)
Download fileData-centric intelligent computing
journal contribution
posted on 2022-08-30, 07:19 authored by J Shen, CC Hung, G Beydoun, Y Li, Wanwu GuoWanwu GuoIn 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
11Issue
1Start Page
616End Page
617eISSN
1875-6883ISSN
1875-6891Publisher DOI
Additional Rights
CC BY-NC 4.0Peer Reviewed
- Yes
Open Access
- Yes
External Author Affiliations
University of Southern Queensland; University of Wollongong; Kennesaw State University, USA; University of Technology SydneyAuthor Research Institute
- Centre for Intelligent Systems
Era Eligible
- No