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» MCDB: a monte carlo approach to managing uncertain data
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SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
14 years 11 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
14 years 5 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...
PVLDB
2010
104views more  PVLDB 2010»
13 years 9 months ago
MCDB-R: Risk Analysis in the Database
Enterprises often need to assess and manage the risk arising from uncertainty in their data. Such uncertainty is typically modeled as a probability distribution over the uncertain...
Peter J. Haas, Christopher M. Jermaine, Subi Arumu...
ICDE
2008
IEEE
563views Database» more  ICDE 2008»
15 years 10 months ago
Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data
In applications like location-based services, sensor monitoring and biological databases, the values of the database items are inherently uncertain in nature. An important query fo...
Reynold Cheng, Jinchuan Chen, Mohamed F. Mokbel, C...
EUROGRAPHICS
2010
Eurographics
14 years 8 months ago
Uncertain 2D Vector Field Topology
We introduce an approach to visualize stationary 2D vector fields with global uncertainty obtained by considering the transport of local uncertainty in the flow. For this, we ex...
Mathias Otto, Tobias Germer, Hans-Christian Hege, ...