Research on methodology of document classification based on statistical learning theory

Author

Wang, Weihong

Author_Institution

Coll. of Software, Zhejiang Univ. of Technol., Hangzhou, China

Volume

2

fYear

2005

fDate

13-15 June 2005

Firstpage

1107

Abstract

Document classification is one of important steps in document mining. With the statistical learning theory, they proposed a kind of machine learning method based on small sample set. This paper presents a kind of classification model for document classification based on statistical learning theory. In this model, we adopt organized vectors as the eigenvector of documents, trains classifier by means of SVM algorithm, and obtain satisfactory experiment results.

Keywords

classification; data mining; document handling; eigenvalues and eigenfunctions; learning (artificial intelligence); statistical analysis; support vector machines; SVM algorithm; data mining; document classification; document mining; machine learning; organized vectors; statistical learning theory; support vector machine; Data mining; Educational institutions; Learning systems; Machine learning; Machine learning algorithms; Statistical analysis; Statistical learning; Support vector machine classification; Support vector machines; Text categorization;

fLanguage

English

Publisher

ieee

Conference_Titel

Services Systems and Services Management, 2005. Proceedings of ICSSSM '05. 2005 International Conference on

Print_ISBN

0-7803-8971-9

Type

conf

DOI

10.1109/ICSSSM.2005.1500167

Filename

1500167