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Solving the Under-Fitting Problem for Decision Tree Algorithms by Incremental Swarm Optimization in Rare-Event Healthcare Classification Journal article
Journal of Medical Imaging and Health Informatics, 2016,Volume: 6,Issue: 4,Page: 1102-1110
Authors:  Li, Jinyan;  Fong, Simon;  Mohammed, Sabah;  Fiaidhi, Jinan;  Chen, Qian;  Tan, Zhen
Favorite |  | TC[WOS]:8 TC[Scopus]:10 | Submit date:2019/02/13
Decision Tree  Imbalanced Healthcare Dataset  Incremental Swarm Optimization  Swarm Intelligence Algorithm  
Improvised Methods for Tackling Big Data Stream Mining Challenges: Case Study of Human Activity Recognition Journal article
JOURNAL OF SUPERCOMPUTING, 2016,Volume: 72,Issue: 10,Page: 3927-3959
Authors:  Simon Fong;  Kexing Liu;  Kyungeun Cho;  Raymond Wong;  Sabah Mohammed;  Jinan Fiaidhi
Favorite |  | TC[WOS]:4 TC[Scopus]:6 | 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
Journal of Medical Imaging and Health Informatics, 2015,Volume: 5,Issue: 5,Page: 1108-1115
Authors:  Fong, Simon;  Siu, Shirley W. I.;  Zhou, Suzy;  Chan, Jonathan H.;  Mohammed, Sabah;  Fiaidhi, Jinan
Favorite |  | TC[WOS]:1 TC[Scopus]:2 | 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
Journal of Systems and Software, 2014,Volume: 102,Page: 158-166
Authors:  Hang Yang;  Simon Fong
Favorite |  | TC[WOS]:12 TC[Scopus]:16 | Submit date:2019/02/13
Concept Drift  Data Stream Mining  Very Fast Decision Tree  
Towards automatic food prediction during endurance sport competitions Conference paper
Proceedings - 2014 International Conference on Soft Computing and Machine Intelligence, ISCMI 2014, New Delhi, India, 26-27 Sept. 2014
Authors:  Iztok Fister Jr;  Fister, Iztok;  Fister, Duan;  Ljubi, Karin;  Zhuang, Yan;  Fong, Simon
Favorite |  | TC[WOS]:5 TC[Scopus]:7 | Submit date:2018/11/06
Component  Endurance Sport Event  Machine Learning  Decision Tree  Food  
Improving the Accuracy of Incremental Decision Tree Learning Algorithm via Loss Function Conference paper
Proceedings - 16th IEEE International Conference on Computational Science and Engineering, CSE 2013, Sydney, NSW, Australia, 3-5 Dec. 2013
Authors:  Hang Yang;  Simon Fong
Favorite |  | TC[WOS]:3 TC[Scopus]:4 | Submit date:2019/02/13
Hoeffding Tree  Data Stream Mining  Decision Tree Classification  
Countering the Concept-drift Problem in Big Data Using iOVFDT Conference paper
Proceedings - 2013 IEEE International Congress on Big Data, BigData 2013, Santa Clara, CA, USA, 27 June-2 July 2013
Authors:  Hang Yang;  Simon Fong
Favorite |  | TC[WOS]:10 TC[Scopus]:11 | Submit date:2019/02/13
Data Stream Mining  Concept Drift  Incremental Decision Tree  Classification  
Improving adaptability of decision tree for mining big data Journal article
New Mathematics and Natural Computation, 2013,Volume: 9,Issue: 1,Page: 77-95
Authors:  HANG YANG;  SIMON FONG
Favorite |  | TC[WOS]:0 TC[Scopus]:5 | Submit date:2019/02/13
Algorithms Performance Evaluation  Data Stream Mining  Decision Tree  
Incrementally Optimized Decision Tree for Mining Imperfect Data Streams Conference paper
Networked Digital Technologies, Dubai, UAE, April 24-26, 2012
Authors:  Hang Yang;  Simon Fong
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2019/02/13
Data Stream Mining  Decision Tree Classification  Optimized Very Fast Decision Tree  Incremental Optimization  
Multi-objective Optimization for Incremental Decision Tree Learning Conference paper
Data Warehousing and Knowledge Discovery, Vienna, Austria, September 3-6, 2012
Authors:  Hang Yang;  Simon Fong;  Yain-Whar Si
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2019/02/13
Decision Tree  Classification  Incremental Optimization  Stream Mining