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» Efficient join processing over uncertain data
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ICONIP
2009
14 years 7 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
TKDE
2008
146views more  TKDE 2008»
14 years 9 months ago
Toward Managing Uncertain Spatial Information for Situational Awareness Applications
Situational awareness (SA) applications monitor the real world and the entities therein to support tasks such as rapid decision making, reasoning, and analysis. Raw input about unf...
Yiming Ma, Dmitri V. Kalashnikov, Sharad Mehrotra
175
Voted
ICDE
2009
IEEE
278views Database» more  ICDE 2009»
15 years 11 months ago
Probabilistic Skyline Operator over Sliding Windows
Abstract-- Skyline computation has many applications including multi-criteria decision making. In this paper, we study the problem of efficient processing of continuous skyline que...
Wenjie Zhang, Xuemin Lin, Ying Zhang, Wei Wang 001...
ICDE
2005
IEEE
147views Database» more  ICDE 2005»
15 years 11 months ago
Cost-Driven General Join View Maintenance over Distributed Data Sources
Maintaining materialized views that have join conditions between arbitrary pairs of data sources possibly with cycles is critical for many applications. In this work, we model vie...
Bin Liu, Elke A. Rundensteiner
CIDM
2007
IEEE
15 years 1 months ago
An Efficient Distance Calculation Method for Uncertain Objects
Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distan...
Lurong Xiao, Edward Hung