DocumentCode
2996957
Title
A Service Classification Approach Based on Suffix Tree Clustering
Author
Haiyan Zhao ; Lina Xi ; Chen Qingkui
Author_Institution
Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
fYear
2012
fDate
22-24 Nov. 2012
Firstpage
156
Lastpage
160
Abstract
Service classification approach that is based on text mining, semantic processing and machine learning is proposed. Specifically, Word Net is used to standardize service specifications and the classification approach applied is based on suffix tree clustering. The major advantage of this classification approach is that this approach can obtain the category description of classification while others can not do. In addition, it also has a better performance.
Keywords
Web services; data mining; learning (artificial intelligence); pattern classification; pattern clustering; text analysis; tree data structures; WordNet; classification category description; machine learning; semantic processing; service classification approach; service specification standardization; suffix tree clustering; text mining; Classification algorithms; Clustering algorithms; Diseases; Educational institutions; Semantics; Web services; base category; service classification; suffix tree clustering; web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud and Service Computing (CSC), 2012 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-4724-2
Type
conf
DOI
10.1109/CSC.2012.31
Filename
6414493
Link To Document