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Data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms
Bin Bin Ma1; Simon Fong1; Richard Millham2
2018-05-31
Conference Name2018 Conference on Information Communications Technology and Society (ICTAS)
Source Publication2018 Conference on Information Communications Technology and Society, ICTAS 2018 - Proceedings
Pages1-6
Conference Date8-9 March 2018
Conference PlaceDurban, South Africa
Abstract

Fog computing emerged as a contemporary strategy to process big streaming data efficiently. It is designed as a distributed computing platform for supporting the data analytics for Internet of Things (IoT) applications that pushes the data analytics from Cloud server to the far edge of a sensor network. As the name suggests, ubiquitous data which is collected from the sensors are processed locally rather than on the central servers. Fog computing helps avoid performance bottleneck at the center point and relieves raw data from overwhelming towards the center of the network. However, suitable data analysis algorithms such as those of data stream mining that are consist of learning and recognizing patterns from the incoming data streams must be fast and accurate enough for supporting Fog computing. This paper reports about a computer simulation of running data stream mining algorithms in Fog environment. Furthermore, feature selection that is powered by s warm search is used as a pre-processing method for improving the accuracy and speed of local Fog data analytics. Through the experiment, the results reveal which algorithms are the best choice to deliver edge intelligence in Fog computing environment.

KeywordFog Computing Internet Of Things Data Mining Data Analytics Gas Sensor
DOI10.1109/ICTAS.2018.8368770
URLView the original
Language英語English
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Department of Computer and Information Science, University of Macau, Taipa, Macau SAR
2.ICT and Society Research Group, Durban University of Technology, Durban, South Africa
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Bin Bin Ma,Simon Fong,Richard Millham. Data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms[C],2018:1-6.
APA Bin Bin Ma,Simon Fong,&Richard Millham.(2018).Data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms.2018 Conference on Information Communications Technology and Society, ICTAS 2018 - Proceedings,1-6.
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