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ICDE
2009
IEEE
157views Database» more  ICDE 2009»
14 years 2 months ago
Clustering Uncertain Data with Possible Worlds
The topic of managing uncertain data has been explored in many ways. Different methodologies for data storage and query processing have been proposed. As the availability of manag...
Peter Benjamin Volk, Frank Rosenthal, Martin Hahma...
VLDB
2005
ACM
140views Database» more  VLDB 2005»
14 years 29 days ago
OLAP Over Uncertain and Imprecise Data
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 qu...
Douglas Burdick, Prasad Deshpande, T. S. Jayram, R...
EDBT
2009
ACM
173views Database» more  EDBT 2009»
14 years 3 days ago
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams
We present PROUD - A PRObabilistic approach to processing similarity queries over Uncertain Data streams, where the data streams here are mainly time series streams. In contrast t...
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan C...
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
14 years 7 months ago
Finding frequent items in probabilistic data
Computing statistical information on probabilistic data has attracted a lot of attention recently, as the data generated from a wide range of data sources are inherently fuzzy or ...
Qin Zhang, Feifei Li, Ke Yi
CORR
2011
Springer
175views Education» more  CORR 2011»
13 years 2 months ago
A Novel Probabilistic Pruning Approach to Speed Up Similarity Queries in Uncertain Databases
Abstract— In this paper, we propose a novel, effective and efficient probabilistic pruning criterion for probabilistic similarity queries on uncertain data. Our approach support...
Thomas Bernecker, Tobias Emrich, Hans-Peter Kriege...