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ICDE
2003
IEEE
146views Database» more  ICDE 2003»
15 years 11 months ago
Generalized Closed Itemsets for Association Rule Mining
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
Vikram Pudi, Jayant R. Haritsa
WWW
2005
ACM
15 years 10 months ago
eBag: a ubiquitous Web infrastructure for nomadic learning
This paper describes the eBag infrastructure, which is a generic infrastructure inspired from work with school children who could bene t from a electronic schoolbag for collaborat...
Christina Brodersen, Bent Guldbjerg Christensen, K...
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 7 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
IV
2009
IEEE
141views Visualization» more  IV 2009»
15 years 4 months ago
Connecting Genes with Diseases
We present a visual data mining application using the combination of clinical data, pathways and biomolecular data. Using pathways to navigate and filter the clinical and molecula...
Heimo Müller, Robert Reihs, Stefan Sauer 0002...
GECCO
2007
Springer
174views Optimization» more  GECCO 2007»
15 years 4 months ago
Heuristic speciation for evolving neural network ensemble
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
Shin Ando