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» Mining Very Large Databases
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ICDM
2002
IEEE
148views Data Mining» more  ICDM 2002»
14 years 2 months ago
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Masakazu Seno, George Karypis
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
14 years 1 months ago
Preserving Privacy through Data Generation
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
SDM
2007
SIAM
145views Data Mining» more  SDM 2007»
13 years 11 months ago
Finding Motifs in a Database of Shapes
The problem of efficiently finding images that are similar to a target image has attracted much attention in the image processing community and is rightly considered an informatio...
Xiaopeng Xi, Eamonn J. Keogh, Li Wei, Agenor Mafra...
EDBT
2008
ACM
161views Database» more  EDBT 2008»
13 years 11 months ago
Automatic content targeting on mobile phones
The mobile phone industry has reached a saturation point. With low growth rates and fewer new customers available to acquire, competition among mobile operators is now focused on ...
Giovanni Giuffrida, Catarina Sismeiro, Giuseppe Tr...
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
13 years 8 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu