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» Efficient Discovery of Confounders in Large Data Sets
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KDD
2005
ACM
170views Data Mining» more  KDD 2005»
14 years 9 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
GIS
2006
ACM
14 years 10 months ago
Mining frequent geographic patterns with knowledge constraints
The large amount of patterns generated by frequent pattern mining algorithms has been extensively addressed in the last few years. In geographic pattern mining, besides the large ...
Luis Otávio Alvares, Paulo Martins Engel, S...
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 9 months ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng
CCGRID
2009
IEEE
14 years 28 days ago
Hierarchical Caches for Grid Workflows
From personal software to advanced systems, caching mechanisms have steadfastly been a ubiquitous means for reducing workloads. It is no surprise, then, that under the grid and clu...
David Chiu, Gagan Agrawal
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
13 years 10 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara