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On recognizing abnormal human behaviours by data stream mining with misclassified recalls Conference paper
26th International World Wide Web Conference 2017, WWW 2017 Companion
Authors:  Fong S.;  Hu S.;  Song W.;  Cho K.;  Wong R.K.;  Mohammed S.
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Classification  Data stream mining  Human activity recognition  
Data stream mining with swarm decision table in fog computing environment Conference paper
ACM International Conference Proceeding Series
Authors:  Li J.;  Fong S.;  Li T.;  Song W.
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Chemical gas sensors  Data analytics  Data mining  Fog computing  Internet of Things  SDT  
Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall Journal article
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2018,Volume: 9,Issue: 4,Page: 1197-1221
Authors:  Fong, Simon;  Li, Jiaxue;  Song, Wei;  Tian, Yifei;  Wong, Raymond K.;  Dey, Nilanjan
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IoT smart home  Energy prediction  Data stream mining  Classification  
Data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms Conference paper
2018 Conference on Information Communications Technology and Society, ICTAS 2018 - Proceedings
Authors:  Ma B.B.;  Fong S.;  Millham R.
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Data Analytics  Data mining  Fog computing  Gas Sensor  Internet of Things  
Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest Journal article
INTERNET OF THINGS AND BIG DATA ANALYTICS TOWARD NEXT-GENERATION INTELLIGENCE, 2018,Volume: 30,Page: 483-502
Authors:  Fong, Simon;  Song, Wei;  Wong, Raymond;  Bhatt, Chintan;  Korzun, Dmitry;  Dey, N;  Hassanien, AE;  Bhatt, C;  Ashour, AS;  Satapathy, SC
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Data stream mining  Decision trees  Meta-classifiers  Big data  
Big data mining algorithms for fog computing Conference paper
ACM International Conference Proceeding Series
Authors:  Fong S.
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Computer network security  Security threats  SME  
Self-Adaptive Pre-Processing Methodology for Big Data Stream Mining in Internet of Things Environmental Sensor Monitoring Journal article
SYMMETRY-BASEL, 2017,Volume: 9,Issue: 10
Authors:  Lan, Kun;  Fong, Simon;  Song, Wei;  Vasilakos, Athanasios V.;  Millham, Richard C.
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data stream pre-processing  self-adaptive segmentation  clustering-based particle swarm optimization (CPSO)  Internet of Things (IoT) datasets  
Self-adaptive pre-processing methodology for big data stream mining in internet of things environmental sensor monitoring Journal article
Symmetry, 2017,Volume: 9,Issue: 10
Authors:  Lan K.;  Fong S.;  Song W.;  Vasilakos A.V.;  Millham R.C.
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Clustering-based particle swarm optimization (CPSO)  Data stream pre-processing  Internet of Things (IoT) datasets  Self-adaptive segmentation  
Integrated work-flow for quantitative metabolome profiling of plants, Peucedani Radix as a case Journal article
ANALYTICA CHIMICA ACTA, 2017,Volume: 953,Page: 40-47
Authors:  Song, Yuelin;  Song, Qingqing;  Liu, Yao;  Li, Jun;  Wan, Jian-Bo;  Wang, Yitao;  Jiang, Yong;  Tu, Pengfei
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Quantitative Metabolome  Integrated Work-flow  Offline Two Dimensional Liquid  Chromatography  Linear Range  Peucedani Radix  Isomer  
Incremental optimization mechanism for constructing a balanced very fast decision tree for big data Book
2017
Authors:  Yang H.;  Fong S.
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