{"title":"基于后缀树聚类的服务分类方法","authors":"Haiyan Zhao, Lina Xi, Qingkui Chen","doi":"10.1109/CSC.2012.31","DOIUrl":null,"url":null,"abstract":"Service classification approach that is based on text mining, semantic processing and machine learning is proposed. Specifically, Word Net is used to standardize service specifications and the classification approach applied is based on suffix tree clustering. The major advantage of this classification approach is that this approach can obtain the category description of classification while others can not do. In addition, it also has a better performance.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Service Classification Approach Based on Suffix Tree Clustering\",\"authors\":\"Haiyan Zhao, Lina Xi, Qingkui Chen\",\"doi\":\"10.1109/CSC.2012.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Service classification approach that is based on text mining, semantic processing and machine learning is proposed. Specifically, Word Net is used to standardize service specifications and the classification approach applied is based on suffix tree clustering. The major advantage of this classification approach is that this approach can obtain the category description of classification while others can not do. In addition, it also has a better performance.\",\"PeriodicalId\":183800,\"journal\":{\"name\":\"2012 International Conference on Cloud and Service Computing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Cloud and Service Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSC.2012.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Cloud and Service Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSC.2012.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Service Classification Approach Based on Suffix Tree Clustering
Service classification approach that is based on text mining, semantic processing and machine learning is proposed. Specifically, Word Net is used to standardize service specifications and the classification approach applied is based on suffix tree clustering. The major advantage of this classification approach is that this approach can obtain the category description of classification while others can not do. In addition, it also has a better performance.
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