There are many usages for the Web services in the World Wide Web. For creating new services we can compose other developed services in the way we want to use them. The large amount of Web services make composing of services a time consuming and impossible job. So to compose services some automated and semi-automated ways were developed. One of these ways is semantic Web services (SWS). In this paper we propose a method based on data mining techniques on Web services to find the best composition among possible compositions to improve quality and performance of Web service composition. Association rules, Classification and clustering are used as data mining approach to improve performance of the Web Service Composition
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