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» Mining Multiple Large Databases
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124
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JIIS
1998
161views more  JIIS 1998»
15 years 1 months ago
Mining Text Using Keyword Distributions
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Ido Dagan, Haym Hirsh
WSDM
2012
ACM
236views Data Mining» more  WSDM 2012»
13 years 9 months ago
Effective query formulation with multiple information sources
Most standard information retrieval models use a single source of information (e.g., the retrieval corpus) for query formulation tasks such as term and phrase weighting and query ...
Michael Bendersky, Donald Metzler, W. Bruce Croft
FOCS
2010
IEEE
14 years 12 months ago
A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
Abstract--We consider statistical data analysis in the interactive setting. In this setting a trusted curator maintains a database of sensitive information about individual partici...
Moritz Hardt, Guy N. Rothblum
103
Voted
AUSAI
2003
Springer
15 years 7 months ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
PKDD
2001
Springer
104views Data Mining» more  PKDD 2001»
15 years 6 months ago
Data Reduction Using Multiple Models Integration
Large amount of available information does not necessarily imply that induction algorithms must use all this information. Samples often provide the same accuracy with less computat...
Aleksandar Lazarevic, Zoran Obradovic