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Fast Algorithm Based on Parallel Computing for Sample Entropy Calculation Journal article
IEEE Access, 2021
Authors:  Dong X.;  Chen C.;  Geng Q.;  Zhang W.;  Zhang X.D.
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Acceleration  Algorithm  Biomedical Monitoring  Entropy  Fast Computation  Graphics Processing Unit  Graphics Processing Units  Kernel  Parallel Computing  Sample Entropy  Standards  Time Series Analysis  
Attribute reduction based on multi-objective decomposition-ensemble optimizer with rough set and entropy Conference paper
IEEE International Conference on Data Mining Workshops, ICDMW, Beijing, China, 8-11 Nov. 2019
Authors:  Jie Yang;  Simon Fong;  Tengyue Li
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Attribute Reduction  Multi-objective Optimization  Rough Set  Mutual Information  
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
IEEE Internet of Things Journal, 2019,Volume: 7,Issue: 3,Page: 2321-2342
Authors:  Tengyue Li;  Simon Fong;  Xuqi Li;  Zhihui Lu;  Amir H. Gandomi
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Data Analytics  Data Stream Mining  Fog Computing  Internet Of Things (Iot)  Swarm Decision Table (Sdt)  Smart Home  
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, Durban, South Africa, 8-9 March 2018
Authors:  Bin Bin Ma;  Simon Fong;  Richard Millham
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Fog Computing  Internet Of Things  Data Mining  Data Analytics  Gas Sensor  
Visual clustering-based apriori ARM methodology for obtaining quality association rules Conference paper
VINCI '17: Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, Bangkok Thailand, 14 August, 2017- 16 August, 2017
Authors:  Simon Fong;  Robert P. Biuk-Aghai;  Scarlet Tin
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Clustering  Apriori Algorithm  Association Rule Mining  
Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive Journal article
Advanced Engineering Informatics, 2016,Volume: 30,Issue: 3,Page: 553-563
Authors:  Zhang C.-Y.;  Chen D.;  Yin J.;  Chen L.
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Automatic Train Operation  Data-driven Train Operation Model  Ensemble Learning  Machine Learning  Manual Driving  
Hybrid Sampling with Bagging for Class Imbalance Learning Conference paper
Lecture Notes in Computer Science (ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING), Univ Auckland, Auckland, NEW ZEALAND, APR 19-22, 2016
Authors:  Yang Lu;  Yiu-ming Cheung;  Yuan Yan Tang
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Class Imbalance Learning  Ensemble Method  Hybrid Sampling  Sampling Method  
Prediction of Major Earthquakes as Rare Events Using RF-Typed Polynomial Neural Networks Book chapter
出自: Encyclopedia of Information Science and Technology, Third Edition:IGI Global, 2015
Authors:  Fong, Simon;  Deb, Suash
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Neural Networks  Autoregressive Integrated Moving Average Model (Arima)  Time-series  Hurst Factor  Goodness-of-fit  Curve Fitting  
Classifying Human Voices by Using Hybrid SFX Time-Series Preprocessing and Ensemble Feature Selection Journal article
BioMed Research International, 2013,Volume: 2013
Authors:  Simon Fong;  Kun Lan;  Raymond Wong
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Rule Generation and Evaluation by Data Mining Ensembles for Clinical Decision Support Conference paper
Proceedings of the IASTED International Conference on Biomedical Engineering, BioMed 2013, Innsbruck, Austria, February 13 - 15, 2013
Authors:  Simon Fong;  Luke Lu;  Kun Lan;  Osama Mohammed;  Jinan Fiaidhi;  Sabah Mohammed
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Ensemble Data Mining  Clinical Decision Support  Rule-based System  Medical Informatics