Indian Journal of Science and Technology
DOI: 10.17485/ijst/2014/v7i10.24
Year: 2014, Volume: 7, Issue: 10, Pages: 1674–1681
Original Article
A. Syed Mustafa1* and Y. S. Kumaraswamy2
1 Department of CSE, Sathyabama University Chennai, India; syedmustafa_blr@yahoo.com
2 Department of MCA, Dayananda Sagar College of Engineering, Bangalore, India; yskldswamy2@yahoo.com
To predict web service quality, based on quality attributes set, experiments were carried out on QWS dataset. This study investigates the efficiency of web service classifiers.
Keywords: FURIA, k Nearest Neighbor (kNN), RIDOR, Support Vector Machine (SVM), Web services, QWS dataset
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