Title :
Research of Listed Company Violation Forewarning Model Based on Support Vector Machine
Author :
Huang, Weimin ; Shen, Leping
Author_Institution :
Sch. of Bus. Adm., South China Univ. of Technol., Guangzhou
Abstract :
The violation of listed company doesn \´t only cause loss to listed company itself but also cause great negative impact to social economy. Consequently, prevention weighs more than punishment and remedial measure afterwards. Foreseeing the violation risk of listed company by taking advantage of Support Vector Machine, the violation forewarning model established has the advantage of being highly accurate and has high generalization performance. It is a "new weapon" for supervising and regulating authority to prevent the violation of listed company in a scientific and efficient way.
Keywords :
financial management; risk analysis; socio-economic effects; support vector machines; listed company violation forewarning model; social economy; support vector machine; violation risk; Accuracy; Companies; Economic forecasting; Government; Predictive models; Statistics; Support vector machine classification; Support vector machines; Testing; Weapons;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.2755