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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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View/Download:3/0
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Submit date:2019/02/13
Classification
Data stream mining
Human activity recognition
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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Submit date:2018/10/30
IoT smart home
Energy prediction
Data stream mining
Classification
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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Submit date:2018/10/30
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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Submit date:2019/02/13
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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  |  
Submit date:2018/10/30
Quantitative Metabolome
Integrated Work-flow
Offline Two Dimensional Liquid
Chromatography
Linear Range
Peucedani Radix
Isomer
Improvised Methods for Tackling Big Data Stream Mining Challenges: Case Study of Human Activity Recognition
Journal article
JOURNAL OF SUPERCOMPUTING, 2016,Volume: 72,Issue: 10,Page: 3927-3959
Authors:
Fong, Simon
;
Liu, Kexing
;
Cho, Kyungeun
;
Wong, Raymond
;
Mohammed, Sabah
;
Fiaidhi, Jinan
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Submit date:2019/05/15
Data Stream Mining
Big Data
Very Fast Decision Tree
Resampling
Sensor Data
Underwater Sonar Signals Recognition by Incremental Data Stream Mining with Conflict Analysis
Journal article
International Journal of Distributed Sensor Networks, 2014,Volume: 10,Issue: 5
Authors:
Simon Fong
;
Suash Deb
;
Raymond Wong
;
Guangmin Sun
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  |  
Submit date:2019/02/13
Classifying Sonar Signals Using an Incremental Data Stream Mining Methodology with Conflict Analysis
Conference paper
Advances in Intelligent Systems and Computing, Trivandrum, India, MAR 13-15, 2014
Authors:
Fong, Simon
;
Deb, Suash
;
Thampi, Sabu
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Submit date:2018/11/06
A Scalable Data Stream Mining Methodology: Stream-Based Holistic Analytics and Reasoning in Parallel
Conference paper
Proceedings - 2014 2nd International Symposium on Computational and Business Intelligence, ISCBI 2014, New Delhi, India, 7-8 Dec. 2014
Authors:
Simon Fong
;
Yan Zhuang
;
Raymond Wong
;
Sabah Mohammed
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View/Download:3/0
  |  
Submit date:2019/02/13
Cache-based Data Stream Classifier
Ccv Feature Selection
Data Stream Mining Methodology
Meta-heusristics
Improving adaptability of decision tree for mining big data
Journal article
New Mathematics and Natural Computation, 2013,Volume: 9,Issue: 1,Page: 77-95
Authors:
HANG YANG
;
SIMON FONG
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Submit date:2019/02/13
Algorithms Performance Evaluation
Data Stream Mining
Decision Tree