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| Broad Learning with Attribute Selection for Rheumatoid Arthritis Journal article
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020,Volume: 2020-October,Page: 552-558
Authors: Yang,Jie; Huang,Shigao; Tang,Rui; Hu,Quanyi; Lan,Kun; Wang,Han; Zhao,Qi ; Fong,Simon
  Favorite | | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/03/04
Attribute Selection Broad Learning Disease Pre-diction Rheumatoid Arthritis |
| Quality enhancement of stochastic feature subset selection via genetic algorithms. Assessment in bioinformatics data sets Conference paper
GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
Authors: Tallón-Ballesteros，Antonio J.; Li，Tengyue; Fong，Simon
Favorite | | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/03/09
Attribute selection Classification Data analytics Feature subset selection Multiple class problems |
| Attribute reduction based on multi-objective decomposition-ensemble optimizer with rough set and entropy Conference paper
IEEE International Conference on Data Mining Workshops, ICDMW
Authors: Yang，Jie; Fong，Simon; Li，Tengyue
Favorite | | TC[WOS]:0 TC[Scopus]:1 | Submit date：2021/03/09
Attribute reduction Multi-objective optimization Mutual information Rough set |
| Standing out from the crowd – An investigation of the signal attributes of Airbnb listings Journal article
International Journal of Contemporary Hospitality Management, 2019,Volume: 32
Authors: Bin Yao; Richard T.R. Qiu; Daisy X.F. Fan; Anyu Liu; Dimitrios Buhalis
 View |  Adobe PDF | Favorite | | TC[WOS]:0 TC[Scopus]:15 | Submit date：2019/09/10
Signaling Theory Big Data Airbnb Binomial Logistic Model Booking Probability Sequential Bayesian Updating Sharing Economy |
| On Learning Software Effort Estimation Conference paper
Proceedings - 2015 3rd International Symposium on Computational and Business Intelligence, ISCBI 2015, Bali, Indonesia, 7-9 Dec. 2015
Authors: Sidra Tariq; Muhammad Usman; Raymond Wong; Yan Zhuang; Simon Fong
Favorite | | TC[WOS]:8 TC[Scopus]:5 | Submit date：2019/02/13
Attribute Selection Effort Estimation Machine Learning Techniques Pre-processin Weka |
| Fuzzy clustering with the entropy of attribute weights Journal article
Neurocomputing, 2016,Volume: 198,Page: 125
Authors: Zhou J.; Chen L.; Chen C.L.P.; Zhang Y.; Li H.-X.
Favorite | | TC[WOS]:71 TC[Scopus]:84 | Submit date：2018/10/30
Attribute-weighted Clustering Feature Selection Kernel Method Maximum-entropy Regularization |
| Automatic decision support by information energy decision tree algorithm Conference paper
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, San Diego, CA, United states, 10 5, 2014 - 10 8, 2014
Authors: Liu, Run Zong; Tang, Yuan Yan; Fang, Bin
Favorite | | TC[WOS]:2 TC[Scopus]:2 | Submit date：2018/11/06
Automatic Decision Support Decision Tree Information Energy Data Mining |
| Attribute Overlap Minimization and Outlier Elimination as Dimensionality Reduction Techniques for Text Classification Algorithms Journal article
Journal of Emerging Technologies in Web Intelligence, 2012,Volume: 4,Issue: 3,Page: 259-263
Authors: Simon Fong; Antonio Cerone
Favorite | | TC[WOS]:0 TC[Scopus]:4 | Submit date：2019/02/13
Data Stream Mining Incremental Optimization Optimized Very Fast Decision Tree |
| Attribute overlap minimization and outlier elimination as dimensionality reduction techniques for text classification algorithms Journal article
Journal of Emerging Technologies in Web Intelligence, 2012,Volume: 4,Issue: 3,Page: 259-263
Authors: Fong，Simon; Cerone，Antonio
Favorite | | TC[WOS]:0 TC[Scopus]:4 | Submit date：2021/03/09
Data stream mining Incremental optimization Optimized very fast decision tree |
| Attribute weight entropy regularization in fuzzy C-means algorithm for feature selection Conference paper
Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011
Authors: Zhou J.; Chen C.L.P.
Favorite | | TC[WOS]:0 TC[Scopus]:9 | Submit date：2019/02/11
Attribute weight entropy regularization Feature selection Fuzzy c-means Weighted fuzzy clustering |
