Paper Info
Title
Composite Service Selection Based on Dot Pattern Mining
Abstract
There are complicated correlations among atomic Web services in a composite service. Considering the influence of such correlations on the quality of composite service is important to do service selection. Now, existing selection approaches don’t consider this issue. Using the idea of division, a dot pattern based composite service selection approach is presented in this paper. The main idea of this approach is that according to the correlation degree of atomic services, dividing the composite service into a series of composite service dots; then regarding the dot as selecting unit to do service selection based on the quality of corresponding dot patterns. Experimental results show that our selection approach can improve the quality of the selected composite service.
Year
DOI
Venue
2009
10.1109/SERVICES-I.2009.14
SERVICES I
Keywords
Field
DocType
dot pattern mining,composite service selection,main idea,existing selection approach,selected composite service,composite service,selection approach,atomic service,atomic web service,composite service selection approach,service selection,composite service dot,planning,business,chromium,web service,web services,quality of service,data mining,computational modeling,correlation
Data mining,Division (mathematics),Computer science,Web services data mining,Quality of service,Composite number,Service selection,Web service,Database
Conference
Citations 
PageRank 
References 
4
0.43
6
Authors
5
Name
Order
Citations
PageRank
Mingwei Zhang140.43
Bin Zhang221341.40
Jun Na3819.29
Xi-zhe Zhang4388.94
Zhi-Liang Zhu569464.61