{"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}
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.