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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 7 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
CVPR
2009
IEEE
16 years 9 months ago
Automatic Reconstruction of Cities from Remote Sensor Data
In this paper, we address the complex problem of rapid modeling of large-scale areas and present a novel approach for the automatic reconstruction of cities from remote sensor da...
Charalambos Poullis (CGIT/IMSC/USC), Suya You (Uni...
ICDE
2007
IEEE
167views Database» more  ICDE 2007»
15 years 8 months ago
Load Shedding for Window Joins on Multiple Data Streams
We consider the problem of semantic load shedding for continuous queries containing window joins on multiple data streams and propose a robust approach that is effective with the ...
Yan-Nei Law, Carlo Zaniolo
NIPS
2000
15 years 3 months ago
High-temperature Expansions for Learning Models of Nonnegative Data
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
Oliver B. Downs
RAID
2010
Springer
15 years 11 days ago
A Data-Centric Approach to Insider Attack Detection in Database Systems
The insider threat against database management systems is a dangerous security problem. Authorized users may abuse legitimate privileges to masquerade as other users or to maliciou...
Sunu Mathew, Michalis Petropoulos, Hung Q. Ngo, Sh...