Xiaolin Zhang, Guang-Yue Cui, Li-Xin Liu, Weiliang Huo
{"title":"一种扩展的连续不确定XML数据模型研究","authors":"Xiaolin Zhang, Guang-Yue Cui, Li-Xin Liu, Weiliang Huo","doi":"10.1109/WISA.2012.38","DOIUrl":null,"url":null,"abstract":"The data model is one of the core problems in the field of XML data management, but at present the research on management of uncertain data supporting multi-dimensional continuous random variables has been limited. An extended data model supporting multi-dimensional continuous random variables was proposed based on the existing model. The new model made the continuous uncertain XML no longer confined to express one dimension. In addition, queries about joint probability and conditional probability on the model were defined, The query strategy also can choose appropriate characteristic value calculation method according to different continuous distribution types, thus improve the query processing efficiency largely.","PeriodicalId":313228,"journal":{"name":"2012 Ninth Web Information Systems and Applications Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Extended Continuous Uncertain XML Data Model Research\",\"authors\":\"Xiaolin Zhang, Guang-Yue Cui, Li-Xin Liu, Weiliang Huo\",\"doi\":\"10.1109/WISA.2012.38\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The data model is one of the core problems in the field of XML data management, but at present the research on management of uncertain data supporting multi-dimensional continuous random variables has been limited. An extended data model supporting multi-dimensional continuous random variables was proposed based on the existing model. The new model made the continuous uncertain XML no longer confined to express one dimension. In addition, queries about joint probability and conditional probability on the model were defined, The query strategy also can choose appropriate characteristic value calculation method according to different continuous distribution types, thus improve the query processing efficiency largely.\",\"PeriodicalId\":313228,\"journal\":{\"name\":\"2012 Ninth Web Information Systems and Applications Conference\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Ninth Web Information Systems and Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISA.2012.38\",\"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 Ninth Web Information Systems and Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISA.2012.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Extended Continuous Uncertain XML Data Model Research
The data model is one of the core problems in the field of XML data management, but at present the research on management of uncertain data supporting multi-dimensional continuous random variables has been limited. An extended data model supporting multi-dimensional continuous random variables was proposed based on the existing model. The new model made the continuous uncertain XML no longer confined to express one dimension. In addition, queries about joint probability and conditional probability on the model were defined, The query strategy also can choose appropriate characteristic value calculation method according to different continuous distribution types, thus improve the query processing efficiency largely.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
