尋找研究成果

搜尋結果

• 2012

  Robust semi-supervised SVM on kernel partial least discriminant space for high dimensional data mining

  Huang, S-C. & Wu, T-K., 2012 七月 30, 2012 International Conference on Information Science and Applications, ICISA 2012. 6220924. (2012 International Conference on Information Science and Applications, ICISA 2012).

  研究成果: Conference contribution

  • Data mining
  • Support vector machines
  • Classifiers
  • Separators
  • Pattern recognition
• 2011

  Customizing asynchronous parallel pattern search algorithm to improve ANN classifier for learning disabilities students identification

  Wu, T. K., Huang, S. C., Chiou, W. W. & Meng, Y. R., 2011 十月 6, Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. p. 1639-1643 5 p. 6022322. (Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011; 卷 3).

  研究成果: Conference contribution

  • Identification (Psychology)
  • Learning Disorders
  • Students
  • Classifiers
  • Neural networks
  3 引文 斯高帕斯（Scopus）
• 2015

  Using stepwise reality check to analyze open-end fund investors’n herding redemption in Taiwan

  Wang, N. Y., Huang, C. J., Hsu, Y. L. & Huang, S-C., 2015 一月 1, 於: International Journal of Economics and Financial Issues. 5, 1, p. 260-272 13 p.

  研究成果: Article › 同行評審

  • Reality Check
  • Herding
  • Taiwan
  • Damage
  • Data Snooping
• 2011

  Applying GARCH-EVT-copula models for portfolio value-at-risk on G7 currency markets

  Huang, S-C., Chienb, Y. H. & Wangc, R. C., 2011 八月 1, 於: International Research Journal of Finance and Economics. 74, p. 136-151 16 p.

  研究成果: Article › 同行評審

  • GJR-GARCH Model
  • Copula
  • Currency Market
  • GARCH
  • Value at Risk
  3 引文 斯高帕斯（Scopus）
• 2012

  Kernel local Fisher discriminant analysis based manifold-regularized SVM model for financial distress predictions

  Huang, S-C., Tang, Y-C., Lee, C. W. & Chang, M. J., 2012 二月 15, 於: Expert Systems with Applications. 39, 3, p. 3855-3861 7 p.

  研究成果: Article › 同行評審

  • Discriminant analysis
  • Support vector machines
  • Classifiers
  • Pattern recognition
  • Geometry
  19 引文 斯高帕斯（Scopus）
• 2017

  An intelligent system for business data mining

  Huang, S. C., Wu, T. K. & Wang, N. Y., 2017, 於: Global Business and Finance Review. 22, 2, p. 1-7 7 p.

  研究成果: Article › 同行評審

  • Business Data
  • Intelligent Systems
  • Kernel
  • Discriminant Analysis
  • Data Mining
  1 引文 斯高帕斯（Scopus）
• 2011

  Credit quality assessments using manifold based semi-supervised discriminant analysis and support vector machines

  Huang, S-C. & Wu, T-K., 2011 十月 6, Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. 卷 4. p. 2037-2041 5 p. 6022386

  研究成果: Conference contribution

  • Support Vector Machine
  • Discriminant Analysis
  • Discriminant analysis
  • Support vector machines
  • Classifiers
• 2013

  Composite kernel machines on kernel local fisher discriminant space for financial data mining

  Huang, S-C. & Wu, T-K., 2013 十二月 1, IET International Conference on Information and Communications Technologies, IETICT 2013. 618 CP 編輯 卷 2013. p. 58-63 6 p.

  研究成果: Conference contribution

  • Data mining
  • Composite materials
• 2012

  Using Bayesian network and LRFM model in a pediatric dental clinic

  Huang, S-C., Wei, J. T., Lin, S. Y. & Wu, H-H., 2012 七月 30, Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. p. 20-23 4 p. 6228238. (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012).

  研究成果: Conference contribution

  • Pediatrics
  • Bayesian networks
  • Health insurance
  1 引文 斯高帕斯（Scopus）
• 2017

  A big data analysis system for financial trading

  Huang, S. C., 2017, 於: Global Business and Finance Review. 22, 3, p. 32-44 13 p.

  研究成果: Article › 同行評審

  • Systems Analysis
  • Big Data
  • Kernel
  • Feature Extraction
  • Risk Management
  1 引文 斯高帕斯（Scopus）
• 2012

  Time-varying dependency and structural changes in currency markets

  Hsieh, C. H. & Huang, S. C., 2012 三月 1, 於: Emerging Markets Finance and Trade. 48, 2, p. 94-127 34 p.

  研究成果: Article › 同行評審

  • Currency Market
  • Structural Change
  • Taiwan
  • Time-varying
  • Currency Depreciation
  4 引文 斯高帕斯（Scopus）
• 2015

  Intelligent data mining systems by generalized multiple kernel machines on graph based subspace

  Huang, S. C. & Wu, T. K., 2015 九月 23, Proceedings of the 2015 7th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2015 and Robotics, Automation and Mechatronics, RAM 2015. Institute of Electrical and Electronics Engineers Inc., p. 120-125 6 p. 7274559. (Proceedings of the 2015 7th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2015 and Robotics, Automation and Mechatronics, RAM 2015).

  研究成果: Conference contribution

  • Factorization
  • Data mining
  • Tensors
  • Industry
• 2016

  A new approach to identify high burnout medical staffs by kernel K-means cluster analysis in a regional teaching hospital in Taiwan

  Lee, Y. C., Huang, S. C., Huang, C. H. & Wu, H. H., 2016, 於: Inquiry (United States). 53

  研究成果: Article › 同行評審

  • Psychological Burnout
  • Medical Staff
  • Taiwan
  • Teaching Hospitals
  • Cluster Analysis
  11 引文 斯高帕斯（Scopus）
• 2013

  High-dimensional data mining in finance by Robust semi-supervised Kernel classifiers on maximum covariance discriminant subspace

  Huang, S. C. & Wu, T. K., 2013 十月, 於: Information (Japan). 16, 10, p. 7473-7492 20 p.

  研究成果: Article › 同行評審

  • Finance
  • Data mining
  • Classifiers
  • Separators
  • Support vector machines
• 2020

  The nexus of financial development and economic growth across major Asian economies: Evidence from bootstrap ARDL testing and machine learning approach

  Wu, C. F., Huang, S. C., Chang, T., Chiou, C. C. & Hsueh, H. P., 2020 七月, 於: Journal of Computational and Applied Mathematics. 372, 112660.

  研究成果: Article › 同行評審

  • Economic Growth
  • Machine Learning
  • India
  • Government
  • Japan
  4 引文 斯高帕斯（Scopus）

• A novel intelligent option price forecasting and trading system by multiple kernel adaptive filters

  Huang, S. C., Chiou, C. C., Chiang, J. T. & Wu, C. F., 2020 五月 1, 於: Journal of Computational and Applied Mathematics. 369, 112560.

  研究成果: Article › 同行評審

  • Adaptive Filter
  • Forecasting
  • Adaptive filters
  • kernel
  • Glossaries
  1 引文 斯高帕斯（Scopus）
• 2018

  Energy commodity price forecasting with deep multiple kernel learning

  Huang, S. C. & Wu, C. F., 2018 十一月, 於: Energies. 11, 11, 3029.

  研究成果: Article › 同行評審

  • Forecasting
  • Learning
  • kernel
  • Energy
  • Oils
  2 引文 斯高帕斯（Scopus）
• 2012

  Wavelet-based relevance vector regression model coupled with phase space reconstruction for exchange rate forecasting

  Huang, S. C. & Hsieh, C. H., 2012 三月 1, 於: International Journal of Innovative Computing, Information and Control. 8, 3 A, p. 1917-1930 14 p.

  研究成果: Article › 同行評審

  • Phase Space Reconstruction
  • Exchange rate
  • Forecasting
  • Relevance
  • Wavelets
  6 引文 斯高帕斯（Scopus）
• 2011

  Forecasting stock indices with wavelet domain kernel partial least square regressions

  Huang, S-C., 2011 十二月 1, 於: Applied Soft Computing Journal. 11, 8, p. 5433-5443 11 p.

  研究成果: Article › 同行評審

  • Wavelet analysis
  • Time series
  • Support vector machines
  • Neural networks
  24 引文 斯高帕斯（Scopus）

• Wavelet-based multi-resolution GARCH model for financial spillover effects

  Huang, S. C., 2011 七月 1, 於: Mathematics and Computers in Simulation. 81, 11, p. 2529-2539 11 p.

  研究成果: Article › 同行評審

  • Stock Index
  • Taiwan
  • GARCH Model
  • Multiresolution
  • Volatility
  24 引文 斯高帕斯（Scopus）
• 2020

  Online sequential pattern mining and association discovery by advanced artificial intelligence and machine learning techniques

  Huang, S. C., Chiou, C. C., Chiang, J. T. & Wu, C. F., 2020 六月 1, 於: Soft Computing. 24, 11, p. 8021-8039 19 p.

  研究成果: Article › 同行評審

  • Sequential Patterns
  • Mining
  • Artificial Intelligence
  • Machine Learning
  • Artificial intelligence
  2 引文 斯高帕斯（Scopus）
• 2011

  Integrating spectral clustering with wavelet based kernel partial least square regressions for financial modeling and forecasting

  Huang, S. C., 2011 四月 1, 於: Applied Mathematics and Computation. 217, 15, p. 6755-6764 10 p.

  研究成果: Article › 同行評審

  • Financial Modeling
  • Spectral Clustering
  • Partial Least Squares Regression
  • Forecasting
  • Wavelets
  7 引文 斯高帕斯（Scopus）

• Using Gaussian process based kernel classifiers for credit rating forecasting

  Huang, S-C., 2011 七月 1, 於: Expert Systems with Applications. 38, 7, p. 8607-8611 5 p.

  研究成果: Article › 同行評審

  • Support vector machines
  • Classifiers
  • Labels
  • Feature extraction
  • Economics
  19 引文 斯高帕斯（Scopus）

• Rough sets as a knowledge discovery and classification tool for the diagnosis of students with learning disabilities

  Wu, T. K., Huang, S. C., Meng, Y. R., Liang, W. Y. & Lin, Y. C., 2011 二月, 於: International Journal of Computational Intelligence Systems. 4, 1, p. 29-43 15 p.

  研究成果: Article › 同行評審

  • Disability
  • Knowledge Discovery
  • Rough Set
  • Learning
  • Data mining
  6 引文 斯高帕斯（Scopus）