The Application of Semi-supervised Clustering in Web Services Composition
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Semi-supervised classification algorithm using a large number of unlabeled data supporting the supervised learning process to improve the classification results. Web service composition is a complex interaction between the execution order to determine the different Web services and Web services. This article focuses on the semi-supervised clustering algorithm based on tags and constraints. The paper presents the application of Semi-supervised clustering in web services composition. The compared experimental results indicate that this method has great promise.
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