DocumentCode
2214969
Title
The algorithms for approximate classification and similarity decision of literature
Author
Yang Xian-ze ; Xiao Ming
Author_Institution
Coll. of Comput. Sci. & Technol., Southwest Univ. for Nat., ChengDu, China
Volume
1
fYear
2010
fDate
20-22 Aug. 2010
Abstract
Approximate classification and similarity decision handling of literature, is always a hot point. On the basis of analyzing the relevant concept and difficulty, this paper puts forward a method and algorithm of approximate classification and similarity decision of literature, the research idea and application of this difficult problem. The preliminary test indicates this method has high put performance.
Keywords
approximation theory; pattern classification; approximate classification; difficulty analysis; literature handling; relevant concept analysis; similarity decision handling; Bismuth; Classification algorithms; Computational modeling; Modems; Production; Approximate classification; Literature; Similarity decision; Vector space model;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location
Chengdu
ISSN
2154-7491
Print_ISBN
978-1-4244-6539-2
Type
conf
DOI
10.1109/ICACTE.2010.5578994
Filename
5578994
Link To Document