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» k-Selection Query over Uncertain Data
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TKDE
2008
146views more  TKDE 2008»
13 years 7 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
DEXA
2010
Springer
180views Database» more  DEXA 2010»
13 years 8 months ago
Identifying Interesting Instances for Probabilistic Skylines
Significant research efforts have recently been dedicated to modeling and querying uncertain data. In this paper, we focus on skyline analysis of uncertain data, modeled as uncert...
Yinian Qi, Mikhail J. Atallah
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 7 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes
ICDM
2009
IEEE
130views Data Mining» more  ICDM 2009»
14 years 2 months ago
Active Learning with Generalized Queries
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
Jun Du, Charles X. Ling
EDBT
2010
ACM
177views Database» more  EDBT 2010»
14 years 2 months ago
Bridging the gap between intensional and extensional query evaluation in probabilistic databases
There are two broad approaches to query evaluation over probabilistic databases: (1) Intensional Methods proceed by manipulating expressions over symbolic events associated with u...
Abhay Jha, Dan Olteanu, Dan Suciu