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A Certainty-Based Model for Uncertain Databases

delete2015-08-01
delete13
PRE
AI
O
Olivier Pivert *
H
Henri Prade
DOI:10.1109/TFUZZ.2014.2347994delete
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摘要

摘要

En 中文
This paper considers relational databases containing uncertain attribute values when some knowledge is available about themore or less certain value (or disjunction of values) that a given attribute in a tuplemaytake. We propose a possibility-theory-based model suited to this context and extend the operators of relational algebra to handle such relations in a compact, thus efficient, way. It is shown that the model is a representation system for the whole relational algebra. An important result is that the data complexity associated with the extended operators in this context is the same as in the classical database case, which makes the approach highly scalable.
Keyword:
Database model
possibility theory
query language
uncertain data
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期刊

IEEE Transactions on Fuzzy Systems 封面图
IEEE Transactions on Fuzzy Systems
IF:
11.9
论文数:
5.0K
被引数:
2.9W

机构

U
universite de rennes
学者数:
1.7W
论文数: 1.3W
被引数: 30
U
universite de toulouse
学者数:
3.5W
论文数: 2.7W
被引数: 37
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