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» Informative sampling for large unbalanced data sets
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CIKM
2009
Springer
15 years 6 months ago
Density-based clustering using graphics processors
During the last few years, GPUs have evolved from simple devices for the display signal preparation into powerful coprocessors that do not only support typical computer graphics t...
Christian Böhm, Robert Noll, Claudia Plant, B...
INAP
2001
Springer
15 years 6 months ago
Discovering Frequent Itemsets in the Presence of Highly Frequent Items
This paper presents new techniques for focusing the discoveryof frequent itemsets within large, dense datasets containing highly frequent items. The existence of highly frequent i...
Dennis P. Groth, Edward L. Robertson
DAGSTUHL
2003
15 years 2 months ago
Feature tracking with skeleton graphs
One way to visualize large time-dependent data sets, is by visualization of the evolution of features in these data. The process consists of four steps: feature extraction, featur...
Benjamin Vrolijk, Freek Reinders, Frits H. Post
DS
1997
117views Database» more  DS 1997»
15 years 2 months ago
Experience with a Combined Approach to Attribute-Matching Across Heterogeneous Databases
Determining attribute correspondences is a difficult, time-consuming, knowledge-intensive part of database integration. We report on experiences with tools that identified candi...
Chris Clifton, E. Housman, Arnon Rosenthal
CN
2008
108views more  CN 2008»
15 years 1 months ago
Finding a dense-core in Jellyfish graphs
The connectivity of the Internet crucially depends on the relationships between thousands of Autonomous Systems (ASes) that exchange routing information using the Border Gateway P...
Mira Gonen, Dana Ron, Udi Weinsberg, Avishai Wool