Title :
Enterprise credit confidence assessment based on TSVM
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
Enterprise credit assessment evaluates the trusted degree of an enterprise which indicates whether the enterprise has the ability of debt service. The theory and learning process of Transductive support vector machines (Tsvm) are deeply discussed. A enterprise credit confidence assessment model is established and the nonlinear classifier is applied on credit confidence assessment of the enterprise. Empirical study shows that incremental learning on the classification performance is significantly enhanced.
Keywords :
banking; learning (artificial intelligence); pattern classification; support vector machines; TSVM; debt service; enterprise credit confidence assessment model; incremental learning; learning process; nonlinear classifier; transductive support vector machine; Artificial neural networks; Education; Kernel; Logistics; Machine learning; Support vector machines; Text categorization; Enterprise credit confidence assessment; TSVM;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554870