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Stream label distribution learning processing via broad learning system Journal article
Wang, Guangtai, Huang, Jintao, Vong, Chi Man. Stream label distribution learning processing via broad learning system[J]. Information Sciences, 2024, 677, 120836.
Authors:  Wang, Guangtai;  Huang, Jintao;  Vong, Chi Man
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:0/0 | Submit date：2024/07/04
Broad Learning System  Label Ambiguity  Label Distribution  Stream Data  
Toward fast theta-join: A prefiltering and amalgamated partitioning approach Journal article
Wu, Jiashu, Wang, Yang, Fan, Xiaopeng, Ye, Kejiang, Xu, Chengzhong. Toward fast theta-join: A prefiltering and amalgamated partitioning approach[J]. Concurrency and Computation: Practice and Experience, 2022, 34(17), e6996.
Authors:  Wu, Jiashu;  Wang, Yang;  Fan, Xiaopeng;  Ye, Kejiang;  Xu, Chengzhong
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:1.5/1.5 | Submit date：2022/05/17
Amalgamated Data Stream Partitioning  Cartesian Product Reduction  Online Data Stream  Prefiltering  Theta-join (Θ-join)  
Toward fast theta‐join: A prefiltering and amalgamated partitioning approach Journal article
Jiashu Wu, Yang Wang, Xiaopeng Fan, Kejiang Ye, Chengzhong Xu. Toward fast theta‐join: A prefiltering and amalgamated partitioning approach[J]. Concurrency and Computation: Practice and Experience, 2022, 34(17), e6996.
Authors:  Jiashu Wu;  Yang Wang;  Xiaopeng Fan;  Kejiang Ye;  Chengzhong Xu
Adobe PDF | Favorite | TC[WOS]:2 TC[Scopus]:3  IF:1.5/1.5 | Submit date：2022/08/22
Amalgamated Data Stream Partitioning  Cartesian Product Reduction  Online Data Stream  Prefiltering  Theta-join (Θ-join)  
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]:33 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]:33 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