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» Discovering Relational Patterns across Multiple Databases
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ISMB
1996
13 years 9 months ago
The Megaprior Heuristic for Discovering Protein Sequence Patterns
Several computeralgorithms for discovering patterns in groups of protein sequences are in use that are basedon fitting the parametersof a statistical model to a group of related s...
Timothy L. Bailey, Michael Gribskov
KAIS
2006
95views more  KAIS 2006»
13 years 8 months ago
Discovering mappings in hierarchical data from multiple sources using the inherent structure
Unprecedented amounts of media data are publicly accessible. However, it is increasingly difficult to integrate relevant media from multiple and diverse sources for effective appli...
K. Selçuk Candan, Jong Wook Kim, Huan Liu, ...
SDM
2008
SIAM
112views Data Mining» more  SDM 2008»
13 years 9 months ago
A pattern mining approach toward discovering generalized sequence signatures
Typically, sequence signatures, such as motifs and domains, are assumed to be localized in one region of a sequence or are derived as combinations of the former. We generalize the...
Dietmar H. Dorr, Anne Denton
AUSFORENSICS
2004
13 years 9 months ago
Generalising Event Forensics Across Multiple Domains
In cases involving computer related crime, event oriented evidence such as computer event logs, and telephone call records are coming under increased scrutiny. The amount of techn...
Bradley Schatz, George M. Mohay, Andrew Clark
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 8 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer