On KNN and SVM text classification technology in knowledge management

Author

Tianbing Li

Author_Institution

Sch. of Manage., Xi´an Inst. of Finance & Econ., Xi´an, China

Volume

8

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

3923

Lastpage

3926

Abstract

Knowledge is becoming the core of innovation, knowledge development, knowledge economy, innovation is the main source of inspiration. Knowledge assets and knowledge resources of the competition, have penetrated into natural resources, competition among the means of production, and how the effective management of knowledge has increasingly become a strategic issue to be faced with important practical significance. This paper attempts to build a practical business-oriented text classification based on the knowledge management system starting the empirical research of its related technologies and applications.

Keywords

knowledge management; pattern classification; support vector machines; text analysis; KNN; SVM; business oriented text classification; knowledge assets; knowledge development; knowledge economy; knowledge management; knowledge resources; Analytical models; Knowledge engineering; Knowledge management; Support vector machine classification; Text categorization; Training; Data mining; KNN; SVM; Text classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023916

Filename

6023916