Chen, Su-Duan|Professor
Lab: Lui-Yi Bldg. S412B-4
Tel: (02)2322-6568|Fax: (02)2322-6369
E-mail: chensu@ntub.edu.tw
Courses: Auditing / Tax Accounting / Law of Taxation / Corporate Governance and Internal control
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Education
- Doctor of Accounting , Nova Southeastern University, USA
Experience
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National Taipei University of Business , assistant professor
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Chang Gung University , assistant professor
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Tamkang University, part time assistant professor
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Arther Anderson Taiwan Branch, auditor
Journal Papers
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Suduan Chen , Stephen Jhuang . “Financial Distress Prediction Using Data Mining
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Techniques”, ICIC Express Letters, Part B: Applications -An International Journal of Research and Surveys (ICIC-ELB), Vol.9, No.2, April, 2018 . (EI)
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Suduan Chen, Detection of Fraudulent Financial Statements Using the Hybrid Data Mining Approach, SpringerPlus (2016)5:89 DOI 10.1186/s40064-016-1707-6
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( SCIE, 2016 Impact Factor : 0.982 )
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Suduan Chen, Seasoned Equity Offerings or Capital Deductions ? The Reaction of Stock Prices: Evidence from Taiwan. Emerging Markets Finance and Trade.
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DOI:10.1080/1540496X.2015.1097991 (SSCI, 2014 Impact Factor : 1.20)
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Suduan Chen* , Hsu-Feng Hung, A Formative Measurement Test of Supplier Evaluation Indicators and Weight Models. Journal of Testing and Evaluation,Vol.44/No.3/May 2016. (SCI)
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Suduan Chen*, Zone-de Shen and Yeong-Jia James Goo, A Hybrid Approach of Stepwise Regression, Logistic Regression, Support Vector Machine, and Decision Tree for Forecasting Fraudulent Financial Statements , The Scientific World Journal, vol. 2014, Article ID 968712. (SCIE)
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Suduan Chen* and Jimmy Lee, Going Concern Prediction Using Data Mining , ICIC Express Letters, Part B: Applications -An International Journal of Research and Surveys (ICIC-ELB), Vol.6, No.12, December 2015. (EI)
Conference Papers
- Suduan Chen, Stephen Jhuang . “Financial Distress Prediction Using Data Mining Techniques”, 12th International Conference on Innovative Computing, Information and Control(ICICIC2017) August 28-30, 2017, Kurume City, Japan.
Book
Financial Statements Analysis, 2017