UM

Browse/Search Results:  1-10 of 25 Help

Selected(0)Clear Items/Page:    Sort:
Deep back propagation–long short-term memory network based upper-limb sEMG signal classification for automated rehabilitation Journal article
Biocybernetics and Biomedical Engineering, 2020,Volume: 40,Issue: 3,Page: 987-1001
Authors:  Ying Wang;  Qun Wu;  Nilanjan Dey;  Simon Fong;  Amira S. Ashour
Favorite |  | TC[WOS]:17 TC[Scopus]:20 | Submit date:2021/03/09
Semg  Long Short-term Memory Neural Networks  Back-propagation  Waveform Segmentation  Deep Learning  Rehabilitation  
Intensity and Stationarity Analysis of Land Use Change Based on CART Algorithm Journal article
SCIENTIFIC REPORTS, 2019,Volume: 9
Authors:  Sang, X;  Guo, QZ;  Wu, XX;  Fu, Y;  Xie, TY;  He, CW;  Zang, JL
Favorite |  | TC[WOS]:19 TC[Scopus]:23 | Submit date:2020/01/09
Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest Journal article
INTERNET OF THINGS AND BIG DATA ANALYTICS TOWARD NEXT-GENERATION INTELLIGENCE, 2018,Volume: 30,Page: 483-502
Authors:  Fong, Simon;  Song, Wei;  Wong, Raymond;  Bhatt, Chintan;  Korzun, Dmitry;  Dey, N;  Hassanien, AE;  Bhatt, C;  Ashour, AS;  Satapathy, SC
Favorite |  | TC[WOS]:3 TC[Scopus]:0 | Submit date:2018/10/30
Data stream mining  Decision trees  Meta-classifiers  Big data  
Big data mining algorithms for fog computing Conference paper
BDIOT2017: Proceedings of the International Conference on Big Data and Internet of Thing, London United Kingdom, 20 December, 2017- 22 December, 2017
Authors:  Simon Fong
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2019/02/13
Computer Network Security  Security Threats  Sme  
Predicting the listing statuses of Chinese-listed companies using decision trees combined with an improved filter feature selection method Journal article
KNOWLEDGE-BASED SYSTEMS, 2017,Volume: 128,Page: 93-101
Authors:  Ligang Zhou;  Yain-Whar Si;  Hamido Fujita
Favorite |  | TC[WOS]:20 TC[Scopus]:22 | Submit date:2018/10/30
Multi-class Classification  Listing-status Prediction  Decision Tree C4.5  Decision Tree C5.0  
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]:10 TC[Scopus]:14 | Submit date:2019/02/13
Decision Tree  Imbalanced Healthcare Dataset  Incremental Swarm Optimization  Swarm Intelligence Algorithm  
Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians Journal article
Computational Statistics, 2016,Volume: 31,Page: 799-827
Authors:  Yu, P. L. H.;  Lee, P. H.;  Cheung, S. F.;  Lau, E. Y. Y.;  Mok, S. Y.;  Hui, C. H.
Favorite |  | TC[WOS]:5 TC[Scopus]:6 | Submit date:2022/05/04
Binary Data  Decision Tree  Multinomial Data  Ranking Data  Variable Selection  
A decision-making framework for precision marketing Journal article
Expert Systems with Applications, 2015,Volume: 42,Issue: 7,Page: 3357-3367
Authors:  ZhenYou;  Yain-Whar Si;  Defu Zhang;  XiangXiang Zeng;  Stephen C.H. Leung;  Tao Li
Favorite |  | TC[WOS]:42 TC[Scopus]:50 | Submit date:2019/02/14
Data Mining  Decision Tree  Decision-making  Forecasting  Precision Marketing  
A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5 Conference paper
Frontiers in Artificial Intelligence and Applications, Univ Macau, Macao, PEOPLES R CHINA, FEB 12, 2015
Authors:  Tayyeba Naseer;  Sohail Asghar;  Yan Zhuang;  Simon Fong
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2019/02/13
Classification  C4.5  Fuzzy C4.5  Data Mining  
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]:13 TC[Scopus]:17 | Submit date:2019/02/13
Concept Drift  Data Stream Mining  Very Fast Decision Tree