OLAP over uncertain and imprecise data

被引：41
|
作者：
Burdick, Doug
Deshpande, Prasad M.
Jayram, T. S.
Ramakrishnan, Raghu
Vaithyanathan, Shivakumar
机构：
来源：
VLDB JOURNAL | 2007年 / 16卷 / 01期
关键词：
aggregation; imprecision; uncertainty; ambiguous;
D O I：
10.1007/s00778-006-0033-y
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We extend the OLAP data model to represent data ambiguity, specifically imprecision and uncertainty, and introduce an allocation-based approach to the semantics of aggregation queries over such data. We identify three natural query properties and use them to shed light on alternative query semantics. While there is much work on representing and querying ambiguous data, to our knowledge this is the first paper to handle both imprecision and uncertainty in an OLAP setting.
引用
收藏
页码：123 / 144
页数：22
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