Ayush Banka, Naman Juneja, Arushi Shrimal, Samiksha Agrawal, Dr. Lalit Purohit
{"title":"使用堆叠的Web服务分类","authors":"Ayush Banka, Naman Juneja, Arushi Shrimal, Samiksha Agrawal, Dr. Lalit Purohit","doi":"10.1109/AiDAS47888.2019.8970755","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":227508,"journal":{"name":"2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Web Service Classification using Stacking\",\"authors\":\"Ayush Banka, Naman Juneja, Arushi Shrimal, Samiksha Agrawal, Dr. Lalit Purohit\",\"doi\":\"10.1109/AiDAS47888.2019.8970755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":227508,\"journal\":{\"name\":\"2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AiDAS47888.2019.8970755\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AiDAS47888.2019.8970755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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