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Improvised Methods for Tackling Big Data Stream Mining Challenges: Case Study of Human Activity Recognition Journal article
Simon Fong, Kexing Liu, Kyungeun Cho, Raymond Wong, Sabah Mohammed, Jinan Fiaidhi. Improvised Methods for Tackling Big Data Stream Mining Challenges: Case Study of Human Activity Recognition[J]. JOURNAL OF SUPERCOMPUTING, 2016, 72(10), 3927-3959.
Authors:  Simon Fong;  Kexing Liu;  Kyungeun Cho;  Raymond Wong;  Sabah Mohammed; et al.
Favorite | TC[WOS]:6 TC[Scopus]:9  IF:2.5/2.4 | Submit date：2019/05/15
Data Stream Mining  Big Data  Very Fast Decision Tree  Resampling  Sensor Data  
Real-time analysis of vital signs using incremental data stream mining techniques with a case study of ARDS under ICU treatment Journal article
Fong, Simon, Siu, Shirley W. I., Zhou, Suzy, Chan, Jonathan H., Mohammed, Sabah, Fiaidhi, Jinan. Real-time analysis of vital signs using incremental data stream mining techniques with a case study of ARDS under ICU treatment[J]. Journal of Medical Imaging and Health Informatics, 2015, 5(5), 1108-1115.
Authors:  Fong, Simon;  Siu, Shirley W. I.;  Zhou, Suzy;  Chan, Jonathan H.;  Mohammed, Sabah; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:0.659/0.660 | Submit date：2019/02/13
Data Stream Mining  Naïve Bayes  Optimized Very Fast Decision Tree  Support Vector Machine  Vital Signs Analysis  
Countering the concept-drift problems in big data by an incrementally optimized stream mining model Journal article
Hang Yang, Simon Fong. Countering the concept-drift problems in big data by an incrementally optimized stream mining model[J]. Journal of Systems and Software, 2014, 102, 158-166.
Authors:  Hang Yang;  Simon Fong
Favorite | TC[WOS]:14 TC[Scopus]:23  IF:3.7/3.7 | Submit date：2019/02/13
Concept Drift  Data Stream Mining  Very Fast Decision Tree  
Incrementally Optimized Decision Tree for Mining Imperfect Data Streams Conference paper
Hang Yang, Simon Fong. Incrementally Optimized Decision Tree for Mining Imperfect Data Streams[C]:Springer, Berlin, Heidelberg, 2012, 281-296.
Authors:  Hang Yang;  Simon Fong
Favorite | TC[Scopus]:3 | Submit date：2019/02/13
Data Stream Mining  Decision Tree Classification  Optimized Very Fast Decision Tree  Incremental Optimization  
Incrementally Optimized Decision Tree for Noisy Big Data Conference paper
Hang Yang, Simon Fong. Incrementally Optimized Decision Tree for Noisy Big Data[C], New York, NY, USA:ACM, 2012, 36-44.
Authors:  Hang Yang;  Simon Fong
Favorite | TC[Scopus]:34 | Submit date：2019/02/13
Data Stream Mining  Decision Tree Classification  Optimized Very Fast Decision Tree  Incremental Optimization  
Attribute Overlap Minimization and Outlier Elimination as Dimensionality Reduction Techniques for Text Classification Algorithms Journal article
Simon Fong, Antonio Cerone. Attribute Overlap Minimization and Outlier Elimination as Dimensionality Reduction Techniques for Text Classification Algorithms[J]. Journal of Emerging Technologies in Web Intelligence, 2012, 4(3), 259-263.
Authors:  Simon Fong;  Antonio Cerone
Favorite | TC[Scopus]:4 | Submit date：2019/02/13
Data Stream Mining  Optimized Very Fast Decision Tree  Incremental Optimization  
Optimized Very Fast Decision Tree with Balanced Classification Accuracy and Compact Tree Size Conference paper
Hang Yang, Simon Fong. Optimized Very Fast Decision Tree with Balanced Classification Accuracy and Compact Tree Size[C]:IEEE, 2011, 57-64.
Authors:  Hang Yang;  Simon Fong
Favorite |  | Submit date：2019/02/13
Incremental Optimization  Ovfdt  Stream Mining  Tree Pruning  Very Fast Decision Tree