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A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection Conference paper
Zhong, Yan, Li, Tengyue, Fong, Simon, Li, Xuqi, Tallón-Ballesteros, Antonio J., Mohammed, Sabah. A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection[C]. Sanjurjo González H., Pastor López I., García Bringas P., Quintián H., Corchado E., Switzerland:Springer Science and Business Media Deutschland GmbH, 2021, 38-49.
Authors:  Zhong, Yan;  Li, Tengyue;  Fong, Simon;  Li, Xuqi;  Tallón-Ballesteros, Antonio J.; et al.
Favorite | TC[Scopus]:0 | Submit date：2022/05/13
Internet-of-things  Data Pre-processing  Sensor Data Streams  Big Data Analytics  
A clustering based variable sub-window approach using particle swarm optimisation for biomedical sensor data monitoring Journal article
Kun Lan, Simon Fong, Lian-Sheng Liu, Raymond K. Wong, Nilanjan Dey, Richard C. Millham, Kelvin K.L. Wong. A clustering based variable sub-window approach using particle swarm optimisation for biomedical sensor data monitoring[J]. Enterprise Information Systems, 2019, 15(1), 15-35.
Authors:  Kun Lan;  Simon Fong;  Lian-Sheng Liu;  Raymond K. Wong;  Nilanjan Dey; et al.
Favorite | TC[WOS]:6 TC[Scopus]:12  IF:4.4/4.1 | Submit date：2021/03/09
Data Stream Mining  Biomedical Healthcare  Sensor  Pre-processing  Metaheuristics  Adaptive Windowing  
Self-adaptive pre-processing methodology for big data stream mining in internet of things environmental sensor monitoring Journal article
Kun Lan, Simon Fong, Wei Song, Athanasios V. Vasilakos, Richard C. Millham. Self-adaptive pre-processing methodology for big data stream mining in internet of things environmental sensor monitoring[J]. Symmetry, 2017, 9(10).
Authors:  Kun Lan;  Simon Fong;  Wei Song;  Athanasios V. Vasilakos;  Richard C. Millham
Favorite | TC[WOS]:9 TC[Scopus]:13  IF:2.2/2.3 | Submit date：2019/02/13
Data Stream Pre-processing  Self-adaptive Segmentation  Clustering-based Particle Swarm Optimization (Cpso)  Internet Of Things (Iot) Datasets  
A time series pre-processing methodology with statistical and spectral analysis for classifying non-stationary stochastic biosignals Journal article
Simon Fong, Kyungeun Cho, Osama Mohammed, Jinan Fiaidhi, Sabah Mohammed. A time series pre-processing methodology with statistical and spectral analysis for classifying non-stationary stochastic biosignals[J]. Journal of Supercomputing, 2016, 72(10), 3887-3908.
Authors:  Simon Fong;  Kyungeun Cho;  Osama Mohammed;  Jinan Fiaidhi;  Sabah Mohammed
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:2.5/2.4 | Submit date：2019/02/13
Biosignal Classification  Time Series Pre-processing  Data Mining  Medical Informatics  
A Lightweight Data Pre-Processing Strategy with Fast Contradiction Analysis for Incremental Classifier Learning Journal article
Fong, S., Biuk-Aghai, R. P., Si, Y. W., Yap, B. W.. A Lightweight Data Pre-Processing Strategy with Fast Contradiction Analysis for Incremental Classifier Learning[J]. Mathematical Problems in Engineering, 2015, 1-11.
Authors:  Fong, S.;  Biuk-Aghai, R. P.;  Si, Y. W.;  Yap, B. W.
Favorite |   IF:1.430/1.393 | Submit date：2022/06/14
Data Pre-processing  Conflict Analysis  Incremental Learning  Pairwise Classification  
A time-series pre-processing methodology for biosignal classification using statistical feature extraction Conference paper
Simon Fong, Kun Lan, Paul Sun, Sabah Mohammed, Jinan Fiaidhi. A time-series pre-processing methodology for biosignal classification using statistical feature extraction[C], 2013, 207-214.
Authors:  Simon Fong;  Kun Lan;  Paul Sun;  Sabah Mohammed;  Jinan Fiaidhi
Favorite | TC[Scopus]:9 | Submit date：2019/02/13
Biosignal Classification  Time-series Pre-processing  Data Mining  Medical Informatics  
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network Conference paper
Simon Fong, Zhou Nannan, Raymond K. Wong, Xin-She Yang. Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2013, 464-473.
Authors:  Simon Fong;  Zhou Nannan;  Raymond K. Wong;  Xin-She Yang
Favorite | TC[WOS]:11 TC[Scopus]:14 | Submit date：2019/02/13
Time Series Forecasting  Gmdh  Earthquake Prediction  Ground Ozone  Neural Network  Data Pre-processing  
Knowledge acquisition in supporting diagnosis for e-healthcare infrastructure Conference paper
Chao S., Wong F.. Knowledge acquisition in supporting diagnosis for e-healthcare infrastructure[C], 2010, 322-327.
Authors:  Chao S.;  Wong F.
Favorite |  | Submit date：2018/12/24
Data Mining  Data Pre-processing  E-healthcare  Incremental Learning  Machine Learning  
Unearth the hidden supportive information for an intelligent medical diagnostic system Conference paper
Chao S., Wong F.. Unearth the hidden supportive information for an intelligent medical diagnostic system[C], 2009, 401-408.
Authors:  Chao S.;  Wong F.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2018/12/24
Data Pre-processing  Discretization And Feature Selection  Intelligent Diagnostic System  Latent Supportive Relevance  Medical Data Mining