DocumentCode
1590086
Title
Evidence based similarity for document categorization
Author
Mohamed, Rozlini ; Watada, Junzo
Author_Institution
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Fukuoka, Japan
fYear
2010
Firstpage
1
Lastpage
6
Abstract
The failure of effective information management over the web does not influence only on by the speed of information retrieval; but also influenced by individual and organizational activities. Thus, the search engine of information retrieval plays a pivotal role in retrieving results that are relevant to users´ query. Categorization is an optimist alternative to improve the accuracy and speed of information retrieval. This paper proposes a method using evidential reasoning based on similarity for text categorization. Term and frequency of term has influenced the process of deciding the document category. In order to define a new category for new document, our proposed method has taking degree similarities into consideration.
Keywords
Internet; information retrieval; search engines; text analysis; Web; document categorization; evidence based similarity; information management; information retrieval; search engine; text categorization; categorization; evidential reasoning; latent semantic analysis; similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
World Automation Congress (WAC), 2010
Conference_Location
Kobe
ISSN
2154-4824
Print_ISBN
978-1-4244-9673-0
Electronic_ISBN
2154-4824
Type
conf
Filename
5665447
Link To Document