Classification of Web Services Using Bayesian Network


In this paper, we employed Na?ve Bayes, Markov blanket and Tabu search to rank web services. The Bayesian Network is demonstrated on a dataset taken from literature. The dataset consists of 364 web services whose quality is described by 9 attributes. Here, the attributes are treated as criteria, to classify web services. From the experiments, we conclude that Na?ve based Bayesian network performs better than other two techniques comparable to the classification done in literature.

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R. Mohanty, V. Ravi and M. R. Patra, "Classification of Web Services Using Bayesian Network," Journal of Software Engineering and Applications, Vol. 5 No. 4, 2012, pp. 291-296. doi: 10.4236/jsea.2012.54034.

Conflicts of Interest

The authors declare no conflicts of interest.


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