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SIGMOD
2004
ACM
161views Database» more  SIGMOD 2004»
15 years 11 months ago
Approximation Techniques for Spatial Data
Spatial Database Management Systems (SDBMS), e.g., Geographical Information Systems, that manage spatial objects such as points, lines, and hyper-rectangles, often have very high ...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
AI
2002
Springer
14 years 11 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
125
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JSAC
2010
146views more  JSAC 2010»
14 years 5 months ago
NLOS identification and mitigation for localization based on UWB experimental data
Abstract--Sensor networks can benefit greatly from locationawareness, since it allows information gathered by the sensors to be tied to their physical locations. Ultra-wide bandwid...
Stefano Maranò, Wesley M. Gifford, Henk Wym...
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
16 years 24 days ago
Confidence-Aware Join Algorithms
In uncertain and probabilistic databases, confidence values (or probabilities) are associated with each data item. Confidence values are assigned to query results based on combinin...
Parag Agrawal, Jennifer Widom
EDBT
2008
ACM
131views Database» more  EDBT 2008»
15 years 11 months ago
A Bayesian approach for on-line max and min auditing
In this paper we consider the on-line max and min query auditing problem: given a private association between fields in a data set, a sequence of max and min queries that have alr...
Gerardo Canfora, Bice Cavallo