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2010 – 2019
- 2019
[c3]Der-Jang Chi, Chien-Chou Chu, Duke Chen:
Applying Support Vector Machine, C5.0, and CHAID to the Detection of Financial Statements Frauds. ICIC (3) 2019: 327-336- 2016
- [j4]Ching-Chiang Yeh, Der-Jang Chi, Tzu-Yu Lin, Sheng-Hsiung Chiu:
A Hybrid Detecting Fraudulent Financial Statements Model Using Rough Set Theory and Support Vector Machines. Cybern. Syst. 47(4): 261-276 (2016) - 2014
- [j3]Ching-Chiang Yeh, Der-Jang Chi, Yi-Rong Lin:
Going-concern prediction using hybrid random forests and rough set approach. Inf. Sci. 254: 98-110 (2014) - [c2]Fu Hsiang Chen, Der-Jang Chi, Chun-Yi Kuo:
Using Rough Set Theory and Decision Trees to Diagnose Enterprise Distress - Consideration of Corporate Governance Variables. ICIC (2) 2014: 199-211 - [c1]Fu Hsiang Chen, Der-Jang Chi, Jia-Yi Zhu:
Application of Random Forest, Rough Set Theory, Decision Tree and Neural Network to Detect Financial Statement Fraud - Taking Corporate Governance into Consideration. ICIC (1) 2014: 221-234 - 2010
- [j2]Der-Jang Chi, Hsueh-Tien Lu
, Zong-Ru Tsai:
Does stock repurchase declaration affect stock price? Differences between the electrics industry and other industries. Expert Syst. Appl. 37(1): 640-646 (2010) - [j1]Ching-Chiang Yeh, Der-Jang Chi, Ming-Fu Hsu:
A hybrid approach of DEA, rough set and support vector machines for business failure prediction. Expert Syst. Appl. 37(2): 1535-1541 (2010)
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