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Trajectory Prediction Using Multivariate Time-series Data Stream Learning with Fused Kalman-filter and Evolving Correlated Horizons Feature Selection Conference paper
Li, Tengyue, Fong, Simon. Trajectory Prediction Using Multivariate Time-series Data Stream Learning with Fused Kalman-filter and Evolving Correlated Horizons Feature Selection[C], 2022, 663-670.
Authors:  Li, Tengyue;  Fong, Simon
Favorite | TC[Scopus]:0 | Submit date：2023/03/06
Data Analytics  Data Stream Mining  Kalman Filter  Multivariate Time Series Forecasting  Trajectory Prediction  
Fast and accurate terrain image classification for ASTER remote sensing by data stream mining and evolutionary-EAC instance-learning-based algorithm Other
2021-03-02
Authors:  Hu, Shimin;  Fong, Simon;  Yang, Lili;  Yang, Shuang Hua;  Dey, Nilanjan; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4 | Submit date：2021/12/07
Aster  Data Stream Mining  Evolutionary Computing  Feature Selection  Remote Sensing  
A Dirichlet process biterm-based mixture model for short text stream clustering Journal article
Junyang Chen, Zhiguo Gong, Weiwen Liu. A Dirichlet process biterm-based mixture model for short text stream clustering[J]. Applied Intelligence, 2020, 50(5), 1609-1619.
Authors:  Junyang Chen;  Zhiguo Gong;  Weiwen Liu
Favorite | TC[WOS]:34 TC[Scopus]:50  IF:3.4/3.9 | Submit date：2021/03/09
Data Mining  Stream Clustering  Topic Modeling  
A Dirichlet process biterm-based mixture model for short text stream clustering Journal article
Chen, J, Gong, Z. G., Liu, W.. A Dirichlet process biterm-based mixture model for short text stream clustering[J]. Applied Intelligence, 2020, 50(5), 1609-1619.
Authors:  Chen, J;  Gong, Z. G.;  Liu, W.
Favorite | TC[WOS]:34 TC[Scopus]:50  IF:3.4/3.9 | Submit date：2022/08/26
Data Mining  Stream Clustering  Topic Modeling  
Mining massive e-health data streams for IoMT enabled healthcare systems Journal article
Affan Ahmed Toor, Muhammad Usman, Farah Younas, Alvis Cheuk M. Fong, Sajid Ali Khan, Simon Fong. Mining massive e-health data streams for IoMT enabled healthcare systems[J]. Sensors (Switzerland), 2020, 20(7), 2131.
Authors:  Affan Ahmed Toor;  Muhammad Usman;  Farah Younas;  Alvis Cheuk M. Fong;  Sajid Ali Khan; et al.
Favorite | TC[WOS]:21 TC[Scopus]:36  IF:3.4/3.7 | Submit date：2021/03/09
Data Stream Mining  Iomt  Concept Drift  Class Imbalance  Machine Learning  
Swarm Decision Table and Ensemble Search Methods in Fog Computing Environment: Case of Day-Ahead Prediction of Building Energy Demands Using IoT Sensors Journal article
Tengyue Li, Simon Fong, Xuqi Li, Zhihui Lu, Amir H. Gandomi. Swarm Decision Table and Ensemble Search Methods in Fog Computing Environment: Case of Day-Ahead Prediction of Building Energy Demands Using IoT Sensors[J]. IEEE Internet of Things Journal, 2020, 7(3), 2321-2342.
Authors:  Tengyue Li;  Simon Fong;  Xuqi Li;  Zhihui Lu;  Amir H. Gandomi
Favorite | TC[WOS]:13 TC[Scopus]:18  IF:8.2/9.0 | Submit date：2021/03/09
Data Analytics  Data Stream Mining  Fog Computing  Internet Of Things (Iot)  Swarm Decision Table (Sdt)  Smart Home  
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  
Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall Journal article
Simon Fong, Jiaxue Li, Wei Song, Yifei Tian, Raymond K. Wong, Nilanjan Dey. Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall[J]. Journal of Ambient Intelligence and Humanized Computing, 2018, 9(4), 1197-1221.
Authors:  Simon Fong;  Jiaxue Li;  Wei Song;  Yifei Tian;  Raymond K. Wong; et al.
Favorite | TC[WOS]:24 TC[Scopus]:49  IF:3.662/3.718 | Submit date：2018/10/30
Iot Smart Home  Energy Prediction  Data Stream Mining  Classification  
Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest Journal article
Fong, Simon, Song, Wei, Wong, Raymond, Bhatt, Chintan, Korzun, Dmitry. Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest[J]. INTERNET OF THINGS AND BIG DATA ANALYTICS TOWARD NEXT-GENERATION INTELLIGENCE, 2018, 30, 483-502.
Authors:  Fong, Simon;  Song, Wei;  Wong, Raymond;  Bhatt, Chintan;  Korzun, Dmitry
Favorite | TC[WOS]:4 TC[Scopus]:5 | Submit date：2018/10/30
Data Stream Mining  Decision Trees  Meta-classifiers  Big Data  
On recognizing abnormal human behaviours by data stream mining with misclassified recalls Conference paper
Simon Fong, Shimin Hu, Wei Song, Kyungeun Cho, Raymond K. Wong, Sabah Mohammed. On recognizing abnormal human behaviours by data stream mining with misclassified recalls[C], 2017, 1129-1135.
Authors:  Simon Fong;  Shimin Hu;  Wei Song;  Kyungeun Cho;  Raymond K. Wong; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2019/02/13
Human Activity Recognition  Data Stream Mining  Classification