"Application of Data Mining Using Bayesian Belief Network To Classify Q" by M.Swami Das, Ramakanta Mohanty et al.

International Journal of Computer Science and Informatics

Article Title

Application of Data Mining Using Bayesian Belief Network To Classify Quality of Web Services

Authors

M.Swami Das, Computer Science Department, MLR Institute of Technology, Dundigal, Hyderabad-500 043, AP, India.Follow
Ramakanta Mohanty, Computer Science Department, MLR Institute of Technology, Dundigal, Hyderabad-500 043, AP, India.Follow
D. Vijayalakshmi, Department of IT, MGIT, Gandipaet, Hyderabad – 500 075,(AP) IndiaFollow
Govardhan A, JNTUH College of Engineering, Karimnagar, Andrapradesh, India.Follow

Abstract

In this paper, we employed Naïve Bayes, Augmented Naïve Bayes, Tree Augmented Naïve Bayes, Sons & Spouses, Markov Blanket, Augmented Markov Blanket, Semi Supervised and Bayesian network techniques 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 Naïve based Bayesian network performs better than other two techniques comparable to the classification done in literature.

Recommended Citation

Das, M.Swami; Mohanty, Ramakanta; Vijayalakshmi, D.; and A, Govardhan (2013) "Application of Data Mining Using Bayesian Belief Network To Classify Quality of Web Services," International Journal of Computer Science and Informatics: Vol. 3 : Iss. 1 , Article 1.
Available at: https://www.interscience.in/ijcsi/vol3/iss1/1

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