Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of PLA University of Science and Technology(Natural Science)》 2003-02
Add to Favorite Get Latest Update

Application of Boosting Algorithm to Auto Text Categorization

XIAO Jiang 1, ZHANG Ya fei 2 (1.Institute of Communications Engineering, PLA Univ. of Sci. & Tech., Nanjing 210007, China; 2.Institute of Sciences, PLA Univ. of Sci. & Tech., Nanjing 211101, China)  
How to quickly and efficiently discover and acquire useful information is becoming increasingly important for web based information processing. Text categorization, the automated assigning of natural language texts to predefined categories, is a task of current interest in information querying and retrieval. The Boosting algorithm based on machine learning has gained popularity in recent years. The application of this algorithm to text categorization is proved to be effective and outperforms most of other alogrithms in text categorization.
【CateGory Index】: TP391.1
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved