Fast incremental learning with swarm decision table and stochastic feature selection in an IoT extreme automation environment

doi:10.1109/MITP.2019.2900016

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Residential College	false
Status	已發表Published
	Fast incremental learning with swarm decision table and stochastic feature selection in an IoT extreme automation environment
	Tengyue Li1 ; Simon Fong1 ; Richard C. Millham 2; Jinan Fiaidhi 3; Sabah Mohammed 3
	2019-05-06
Source Publication	IT Professional
ISSN	1520-9202
Volume	21 Issue:2 Pages:14-26
DOI	10.1109/MITP.2019.2900016
URL	View the original
Indexed By	SCIE
Language	英語English
WOS Research Area	Computer Science ; Telecommunications
WOS Subject	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS ID	WOS:000463032300004
Publisher	IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA
Scopus ID	2-s2.0-85063894685
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science View Full-Text via Scopus
Citation statistics
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Jinan Fiaidhi
Affiliation	1.University of Macau 2.Durban University of Technology 3.Lakehead University
First Author Affilication	University of Macau
Recommended Citation GB/T 7714	Tengyue Li,Simon Fong,Richard C. Millham,et al. Fast incremental learning with swarm decision table and stochastic feature selection in an IoT extreme automation environment[J]. IT Professional, 2019, 21(2), 14-26.
APA	Tengyue Li., Simon Fong., Richard C. Millham., Jinan Fiaidhi., & Sabah Mohammed (2019). Fast incremental learning with swarm decision table and stochastic feature selection in an IoT extreme automation environment. IT Professional, 21(2), 14-26.
MLA	Tengyue Li,et al."Fast incremental learning with swarm decision table and stochastic feature selection in an IoT extreme automation environment".IT Professional 21.2(2019):14-26.

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