Title :
Hierarchical Classification of Business Information on the Web Using Incremental Learning
Author :
Wang, Yi ; Gong, Zhiguo ; Guo, Jingzhi
Author_Institution :
Fac. of Sci. & Technol., Univ. of Macau, Macau, China
Abstract :
The explosive Web make it hard to organize and manage Web information automatically. Therefore, online learning method such as incremental learning is gradually become effective instrument in practical applications. From our experiments, traditional incremental learning shows some flaws in the iterative process. To overcome the drawback caused by using only support vector to represent the whole former dataset, we embedded some additional information to enhance the effect of support vectors to solve the problem. Our experiment results reveal the proposed algorithm could obtain better results.
Keywords :
Internet; business data processing; iterative methods; learning (artificial intelligence); pattern classification; support vector machines; Web information management; business information classification; incremental learning; iterative process; online learning method; support vector machine; Conference management; Electronic commerce; Explosives; Instruments; Learning systems; Machine learning; Partial response channels; Support vector machine classification; Support vector machines; Web pages;
Conference_Titel :
e-Business Engineering, 2009. ICEBE '09. IEEE International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3842-6
DOI :
10.1109/ICEBE.2009.48
