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PVLDB
2010
104views more  PVLDB 2010»
15 years 2 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...
117
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CORR
2011
Springer
189views Education» more  CORR 2011»
14 years 10 months ago
Fast Set Intersection in Memory
Set intersection is a fundamental operation in information retrieval and database systems. This paper introduces linear space data structures to represent sets such that their int...
Bolin Ding, Arnd Christian König
DIS
2006
Springer
15 years 7 months ago
Symmetric Item Set Mining Based on Zero-Suppressed BDDs
In this paper, we propose a method for discovering hidden information from large-scale item set data based on the symmetry of items. Symmetry is a fundamental concept in the theory...
Shin-ichi Minato
DATAMINE
2000
118views more  DATAMINE 2000»
15 years 3 months ago
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
ICDE
2007
IEEE
178views Database» more  ICDE 2007»
16 years 5 months ago
Top-k Spatial Preference Queries
A spatial preference query ranks objects based on the qualities of features in their spatial neighborhood. For example, consider a real estate agency office that holds a database ...
Man Lung Yiu, Xiangyuan Dai, Nikos Mamoulis, Micha...