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» Mining evolving data streams for frequent patterns
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SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
15 years 7 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
BIS
2010
159views Business» more  BIS 2010»
14 years 4 months ago
Comparing Intended and Real Usage in Web Portal: Temporal Logic and Data Mining
Nowadays the software systems, including web portals, are developed from a priori assumptions about how the system will be used. However, frequently these assumptions hold only par...
Jérémy Besson, Ieva Mitasiunaite, Au...
TKDE
2008
153views more  TKDE 2008»
14 years 9 months ago
Discovering Frequent Agreement Subtrees from Phylogenetic Data
We study a new data mining problem concerning the discovery of frequent agreement subtrees (FASTs) from a set of phylogenetic trees. A phylogenetic tree, or phylogeny, is an unorde...
Sen Zhang, Jason Tsong-Li Wang
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 6 days ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
KDD
2009
ACM
168views Data Mining» more  KDD 2009»
15 years 10 months ago
Sustainable operation and management of data center chillers using temporal data mining
Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the re...
Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...