DocumentCode
2807624
Title
Research on Service Usage Pattern Mining Method in the Distributed Context
Author
Zhu Hong-Kang ; Yu Xue-li
Author_Institution
Sch. of Comput. Sci.& Software Eng., TaiYuan Univ. of Technol., Taiyuan, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
5
Abstract
Composite service selection is a research difficulties in service-oriented computing domain. Most selection approaches are based on service QoS information which is difficult to acquire accurately. In this paper, a distributed Web service usage pattern mining infrastructure based on services execution information is proposed. In order to meet the cross-organizational associated business requirement, a service registry federation mechanism is presented. Then, a distributed algorithm of composite service frequent sequential mining within registry federation is described. In the end, some simulation results are demonstrated to show the effectiveness of the proposed method.
Keywords
Web services; data mining; distributed algorithms; distributed Web service; distributed algorithm; frequent sequential mining; pattern mining method; service registry federation mechanism; service usage infrastructure; services execution information; Association rules; Computer science; Context-aware services; Data mining; Distributed computing; Distributed databases; Libraries; Software engineering; Web and internet services; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5362808
Filename
5362808
Link To Document