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
• 2014

  Oil price forecasting with hierarchical multiple kernel machines

  Huang, S. C. & Chang, L. F., 2014 一月 1, Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014. IEEE Computer Society, p. 260-263 4 p. 6845868. (Proceedings - 2014 International Symposium on Computer, Consumer and Control, IS3C 2014).

  研究成果: Conference contribution

  • Oils
  • Financial markets
  • Gold
  • Neural networks
• 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
• 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）
• 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
• 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）