MEMBERS

Research Interests

• Data Mining
• Classification Methods Assessment
• Imbalanced Data Analysis

Short-term Plans

• 簡易貝氏分類器於不平衡資料上效能改善之研究(107-2410-H-006-045-MY3), 科技部, 2018/08/01~2021/07/31, 主持人
• 使用k等分交互驗證法評估分類方法效能之研究(106-2410-H-006-020-), 科技部, 2017/08/01~2018/07/31, 主持人
• 可於資料前置處理階段使用的混合型離散化方法之研究(104-2410-H-006-058-MY2), 科技部, 2015/08/01~2017/07/31, 主持人

Course Name：INFORMATION SECURITY AND ETHICS

Department/Institute：Department of Industrial and Information Management

Syllabus

Course Name：DATA MINING

Department/Institute：Institute of Information Management

Syllabus

Course Name：STATISTICS (2)

Department/Institute：Department of Industrial and Information Management

Syllabus

Course Name：MACHINE LEARNING

Department/Institute：Institute of Information Management

Syllabus

1. Wong, T. T. and Liu, Chao-Rui, An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models, Pattern Recognition, Vol. 60, 62-71, 2016.

2. Wong, T. T., Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets, Pattern Recognition, Vol. 65, 97-107, 2017.

3. Wong, T. T. and Yang, N. Y., Dependency analysis of accuracy estimates in k-fold cross validation. IEEE Transactions on Knowledge and Data Engineering, Vol. 29, No. 11, 2417-2427, 2017.

4. Wong, T. T. and Yang, N. Y., Latent Dirichlet allocation naïve Bayes. Journal of Information Management, Vol. 25, No. 1, 65-87, 2018.

5. Wong, T. T. and Yeh, S. J., Weighted random forests for evaluating financial credit risk, Proceedings of Engineering and Technology Innovation, vol. 13, pp. 01-09, 2019.