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Bankruptcy prediction using data mining tools
Kwak, Wikil - 2014
Persistent link: https://www.econbiz.de/10010365577
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Predicting material weaknesses in internal control systems after the Sarbanes-Oxley Act using multiple criteria linear programming and other data mining approaches
Kwak, Wikil; Eldridge, Susan; Shi, Yong; Kou, Gang - In: The journal of applied business research 25 (2009) 6, pp. 105-118
Persistent link: https://www.econbiz.de/10003918802
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Bankruptcy prediction for Korean firms after the 1997 financial crisis : using a multiple criteria linear programming data mining approach
Kwak, Wikil; Shi, Yong; Kou, Gang - In: Review of quantitative finance and accounting 38 (2012) 4, pp. 441-453
Persistent link: https://www.econbiz.de/10009574076
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Predicting bankruptcy after the Sarbanes-Oxley Act using the most current data mining approaches
Kwak, Wikil; Shi, Yong; Kou, Gang - In: Journal of business & economics research 10 (2012) 4, pp. 233-241
Persistent link: https://www.econbiz.de/10009545921
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Predicting auditor changes with financial distress variables : discriminant analysis and problems with data mining approaches
Eldridge, Susan; Kwak, Wikil; Venkatesh, Roopa; Shi, Yong; … - In: The journal of applied business research 28 (2012) 6, pp. 1357-1372
Persistent link: https://www.econbiz.de/10009688934
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Data mining applications in accounting and finance
Kwak, Wikil; Eldridge, Susan; Shi, Yong - 2014
Persistent link: https://www.econbiz.de/10010366269
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Predicting auditor changes using financial distress variables and the multiple criteria linear programming (MCLP) and other data mining approaches
Kwak, Wikil; Eldridge, Susan; Shi, Yong; Kou, Gang - In: The journal of applied business research 27 (2011) 5, pp. 73-84
Persistent link: https://www.econbiz.de/10009301061
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Bankruptcy prediction for Korean firms after the 1997 financial crisis: using a multiple criteria linear programming data mining approach
Kwak, Wikil; Shi, Yong; Kou, Gang - In: Review of Quantitative Finance and Accounting 38 (2012) 4, pp. 441-453
Persistent link: https://www.econbiz.de/10010867654