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» Real world performance of association rule algorithms
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MCS
2004
Springer
15 years 3 months ago
Learn++.MT: A New Approach to Incremental Learning
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
JGAA
2002
99views more  JGAA 2002»
14 years 9 months ago
Graph Layout Aesthetics in UML Diagrams: User Preferences
The merit of automatic graph layout algorithms is typically judged by their computational efficiency and the extent to which they conform to aesthetic criteria (for example, minim...
Helen C. Purchase, Jo-Anne Allder, David A. Carrin...
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
15 years 10 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
CIKM
2010
Springer
14 years 4 months ago
Mining networks with shared items
Recent advances in data processing have enabled the generation of large and complex graphs. Many researchers have developed techniques to investigate informative structures within...
Jun Sese, Mio Seki, Mutsumi Fukuzaki
GIS
2006
ACM
15 years 11 months ago
Representation of periodic moving objects in databases
In the real world, lots of objects with changing position can be found. Some of them repeat the same movement several times, called periodic movements. Examples include airplanes,...
Ralf Hartmut Güting, Thomas Behr, Victor Teix...