Sciweavers

7581 search results - page 1243 / 1517
» Incompleteness in Data Mining
Sort
View
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
16 years 8 months ago
On Randomization, Public Information and the Curse of Dimensionality
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
Charu C. Aggarwal
DAC
2000
ACM
16 years 7 months ago
METRICS: a system architecture for design process optimization
We describe METRICS, a system to recover design productivity via new infrastructure for design process optimization. METRICS seeks to treat system design and implementation as a s...
Stephen Fenstermaker, David George, Andrew B. Kahn...
WWW
2005
ACM
16 years 7 months ago
Duplicate detection in click streams
We consider the problem of finding duplicates in data streams. Duplicate detection in data streams is utilized in various applications including fraud detection. We develop a solu...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
16 years 7 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
16 years 3 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
« Prev « First page 1243 / 1517 Last » Next »