Web Service Classification using Stacking
| Autor: | Arushi Shrimal, Ayush Banka, Samiksha Agrawal, Naman Juneja, Lalit Purohit |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Information retrieval Computer science Quality of service Perspective (graphical) Stacking 02 engineering and technology computer.software_genre 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Web service computer Selection (genetic algorithm) |
| Zdroj: | 2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS). |
| DOI: | 10.1109/aidas47888.2019.8970755 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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