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CORR
2008
Springer
13 years 9 months ago
2008
Springer
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
NOMS
2006
IEEE
14 years 3 months ago
2006
IEEE
—This paper describes a study of predicting machine availabilities and user presence in a pool of desktop computers. The study is based on historical traces collected from 32 mac...
SADM
2010
13 years 3 months ago
2010
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
SDM
2004
SIAM
13 years 10 months ago
2004
SIAM
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
KDD
2007
ACM
14 years 9 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...