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» Consistent query answering in databases
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226
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FOCS
2010
IEEE
15 years 2 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 9 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
131
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SSDBM
2000
IEEE
86views Database» more  SSDBM 2000»
15 years 9 months ago
Serving Datacube Tuples from Main Memory
Existing datacube precompuatation schemes materialize selected datacube tuples on disk, choosing the most beneficial cuboids (i.e., combinations of dimensions) to materialize giv...
Kenneth A. Ross, Kazi A. Zaman
ADVIS
2004
Springer
15 years 10 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...
SIGMOD
2004
ACM
105views Database» more  SIGMOD 2004»
16 years 5 months ago
The Priority R-Tree: A Practically Efficient and Worst-Case Optimal R-Tree
We present the Priority R-tree, or PR-tree, which is the first R-tree variant that always answers a window query using O((N/B)1-1/d + T/B) I/Os, where N is the number of ddimensio...
Lars Arge, Mark de Berg, Herman J. Haverkort, Ke Y...