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 :
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