概率多维数据模型中不确定数据修正的贝叶斯框架

B. R. Moole, R. Korrapati
{"title":"概率多维数据模型中不确定数据修正的贝叶斯框架","authors":"B. R. Moole, R. Korrapati","doi":"10.1109/SECON.2004.1287891","DOIUrl":null,"url":null,"abstract":"Probabilistic Multidimensional Data Models capture the uncertainty that pervades the real world using probabilistic measures. The data representing the real world is subject to change. In this paper, we propose a Bayesian framework and an algorithm to update the probabilistic multidimensional data.","PeriodicalId":324953,"journal":{"name":"IEEE SoutheastCon, 2004. Proceedings.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Bayesian Framework for Modification of Uncertain Data in Probabilistic Multidimensional Data Model\",\"authors\":\"B. R. Moole, R. Korrapati\",\"doi\":\"10.1109/SECON.2004.1287891\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Probabilistic Multidimensional Data Models capture the uncertainty that pervades the real world using probabilistic measures. The data representing the real world is subject to change. In this paper, we propose a Bayesian framework and an algorithm to update the probabilistic multidimensional data.\",\"PeriodicalId\":324953,\"journal\":{\"name\":\"IEEE SoutheastCon, 2004. Proceedings.\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE SoutheastCon, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.2004.1287891\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE SoutheastCon, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2004.1287891","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

概率多维数据模型使用概率度量来捕捉遍及现实世界的不确定性。代表真实世界的数据可能会发生变化。在本文中,我们提出了一个贝叶斯框架和一种算法来更新概率多维数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Bayesian Framework for Modification of Uncertain Data in Probabilistic Multidimensional Data Model
Probabilistic Multidimensional Data Models capture the uncertainty that pervades the real world using probabilistic measures. The data representing the real world is subject to change. In this paper, we propose a Bayesian framework and an algorithm to update the probabilistic multidimensional data.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信