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» Foundations of probabilistic answers to queries
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EDBT
2009
ACM
207views Database» more  EDBT 2009»
13 years 11 months ago
Evaluating probability threshold k-nearest-neighbor queries over uncertain data
In emerging applications such as location-based services, sensor monitoring and biological management systems, the values of the database items are naturally imprecise. For these ...
Reynold Cheng, Lei Chen 0002, Jinchuan Chen, Xike ...
VLDB
2011
ACM
276views Database» more  VLDB 2011»
13 years 3 months ago
Ranking queries on uncertain data
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Xuemin Lin
ICDE
2010
IEEE
243views Database» more  ICDE 2010»
14 years 8 months ago
Probabilistic Contextual Skylines
The skyline query returns the most interesting tuples according to a set of explicitly defined preferences among attribute values. This work relaxes this requirement, and allows us...
Anastasios Arvanitis, Dimitris Sacharidis, Timos K...
VLDB
2005
ACM
110views Database» more  VLDB 2005»
14 years 1 months ago
U-DBMS: A Database System for Managing Constantly-Evolving Data
In many systems, sensors are used to acquire information from external environments such as temperature, pressure and locations. Due to continuous changes in these values, and lim...
Reynold Cheng, Sarvjeet Singh, Sunil Prabhakar
OTM
2005
Springer
14 years 2 months ago
Probabilistic Ontologies and Relational Databases
The relational algebra and calculus do not take the semantics of terms into account when answering queries. As a consequence, not all tuples that should be returned in response to ...
Octavian Udrea, Yu Deng, Edward Hung, V. S. Subrah...