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
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;
Conference_Titel :
Cloud and Service Computing (CSC), 2012 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-4724-2
DOI :
10.1109/CSC.2012.31
