基于分类规则树的频繁模式文本分类 - citeseerx.pdfVIP

ISSN 1000-9825, CODEN RUXUEW E-mail: jos@ Journal of Software, Vol.17, No.5, May 2006, pp .1017−1025 http://www.j DOI: 10. 1360/jos171017 Tel/Fax : +86-10 © 2006 by Journal of Software. All rights reserved. ∗ 基于分类规则树的频繁模式文本分类 1,2+ 1 1 1 1 陈晓云 , 陈 袆 , 王 雷 , 李荣陆 , 胡运发 1(复旦大学 计算机与信息技术系,上海 200433) 2(福州大学 数学与计算机科学学院,福建 福州 350002) Text Categorization Based on Classification Rules Tree by Frequent Patterns 1,2+ 1 1 1 1 CHEN Xiao-Yun , CHEN Yi , WANG Lei , LI Rong-Lu , HU Yun-Fa 1(Department of Computer and Information Technology, Fudan University, Shanghai 200433, China) 2(School of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China) + Corresponding author: Phn: +86-591 E-mail: c_xiaoyun@21 Chen XY, Chen Y, Wang L, Li RL, Hu YF. Text categorization based on classification rules tree by frequent patterns. Journal of Software, 2006,17(5):1017−1025. /1000-9825/17/1017.htm Abstract: Association categorization approach based on frequent patterns has been recently presented, which builds the classification rules according to frequent patterns in various categories and classifies the new text employing these rules. But there are two shortages when the method is applied to classify text data: one is that the method ignores the information about word’s frequency in a text; another is that the rule pruning to improve the classification efficiency will lead to obvious descending of accuracy when mass rules are generated. Therefore,