Der-Jang Chi - researchr alias

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Viewing Publication 1 - 7 from 7

2019

Applying Support Vector Machine, C5.0, and CHAID to the Detection of Financial Statements FraudsDer-Jang Chi, Chien-Chou Chu, Duke Chen. icic 2019: 327-336 [doi]

2016

A Hybrid Detecting Fraudulent Financial Statements Model Using Rough Set Theory and Support Vector MachinesChing-Chiang Yeh, Der-Jang Chi, Tzu-Yu Lin, Sheng-Hsiung Chiu. cas, 47(4):261-276, 2016. [doi]

2014

Application of Random Forest, Rough Set Theory, Decision Tree and Neural Network to Detect Financial Statement Fraud - Taking Corporate Governance into ConsiderationFu Hsiang Chen, Der-Jang Chi, Jia-Yi Zhu. icic 2014: 221-234 [doi]

Using Rough Set Theory and Decision Trees to Diagnose Enterprise Distress - Consideration of Corporate Governance VariablesFu Hsiang Chen, Der-Jang Chi, Chun-Yi Kuo. icic 2014: 199-211 [doi]

Going-concern prediction using hybrid random forests and rough set approachChing-Chiang Yeh, Der-Jang Chi, Yi-Rong Lin. isci, 254:98-110, 2014. [doi]

2010

Does stock repurchase declaration affect stock price? Differences between the electrics industry and other industriesDer-Jang Chi, Hsueh-Tien Lu, Zong-Ru Tsai. eswa, 37(1):640-646, 2010. [doi]

A hybrid approach of DEA, rough set and support vector machines for business failure predictionChing-Chiang Yeh, Der-Jang Chi, Ming-Fu Hsu. eswa, 37(2):1535-1541, 2010. [doi]

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