Data Mining in Web Services Discovery and Monitoring

Data Mining in Web Services Discovery and Monitoring

Richi Nayak (Queensland University of Technology, Australia)
Copyright: © 2008 |Pages: 19
DOI: 10.4018/jwsr.2008010104
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Abstract

The business needs, the availability of huge volumes of data and the continuous evolution in Web services functions derive the need of application of data mining in the Web service domain. This article recommends several data mining applications that can leverage problems concerned with the discovery and monitoring of Web services. This article then presents a case study on applying the clustering data mining technique to the Web service usage data to improve the Web service discovery process. This article also discusses the challenges that arise when applying data mining to Web services usage data and abstract informat

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