期刊名称：International Journal of Data Mining & Knowledge Management Process
印刷版ISSN：2231-007X
电子版ISSN：2230-9608
出版年度：2016
卷号：6
期号：2
页码：83
DOI：10.5121/ijdkp.2016.6207
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Web service composition has been one of the most researched topics of the past decade. Novel methods ofweb service composition are being proposed in the literature include Semantics-based composition, WSDLbasedcomposition. Although these methods provide promising results for composition, search anddiscovery of web service based on QoS parameter of network and semantics or ontology associated withWSDL, they do not address composition based on usage of web service. Web Service usage logs capturetime series data of web service invocation by business objects, which innately captures patterns orworkflows associated with business operations. Web service composition based on such patterns andworkflows can greatly streamline the business operations. In this research work, we try to explore andimplement methods of mining web service usage logs. Main objectives include Identifying usageassociation of services. Linking one service invocation with other, Evaluation of the causal relationshipbetween associations of services.
关键词：Web service composition; Recommender system; Multi level Association rule; Data mining; Web Service;invocation logs
