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» Data Level Inference Detection in Database Systems
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ICDE
2010
IEEE
204views Database» more  ICDE 2010»
15 years 7 months ago
ProbClean: A probabilistic duplicate detection system
— One of the most prominent data quality problems is the existence of duplicate records. Current data cleaning systems usually produce one clean instance (repair) of the input da...
George Beskales, Mohamed A. Soliman, Ihab F. Ilyas...
IJAIT
2007
180views more  IJAIT 2007»
15 years 12 days ago
Detection and Prediction of Rare Events in Transaction Databases
Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have s...
Christos Berberidis, Ioannis P. Vlahavas
ICDE
2006
IEEE
176views Database» more  ICDE 2006»
15 years 6 months ago
Deriving Private Information from Perturbed Data Using IQR Based Approach
Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly m...
Songtao Guo, Xintao Wu, Yingjiu Li
BIOINFORMATICS
2002
146views more  BIOINFORMATICS 2002»
15 years 9 days ago
A duplication growth model of gene expression networks
Motivation: There has been considerable interest in developing computational techniques for inferring genetic regulatory networks from whole-genome expression profiles. When expre...
Ashish Bhan, David J. Galas, T. Gregory Dewey
91
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PAKDD
2009
ACM
103views Data Mining» more  PAKDD 2009»
15 years 7 months ago
Hot Item Detection in Uncertain Data
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...