Web Service Classification using Stacking
Ayush Banka, Naman Juneja, Arushi Shrimal, Samiksha Agrawal, Lalit Purohit · 2019
The problem of web service selection is an important problem from engineering perspective. Quality of Service (QoS) based selection of web services is a popular technique. However, the QoS based selection techniques have their own limitations. Therefore, the Classification of web services before selection can be useful. Two datasets are used for analyzing and obtaining the results. In this paper, we have compared various web service classification techniques and found that stacking is most suitable technique to be applied for classification of web services. The accuracy of stacking is found to be 86.53.