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SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
14 years 10 months ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
ALT
1997
Springer
14 years 1 months ago
Learning One-Variable Pattern Languages Very Efficiently on Average, in Parallel, and by Asking Queries
A pattern is a string of constant and variable symbols. The language generated by a pattern is the set of all strings of constant symbols which can be obtained from by substituti...
Thomas Erlebach, Peter Rossmanith, Hans Stadtherr,...
BMCBI
2002
195views more  BMCBI 2002»
13 years 10 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
ICSE
2005
IEEE-ACM
14 years 10 months ago
Real-time specification patterns
Embedded systems are pervasive and frequently used for critical systems with time-dependent functionality. Dwyer et al. have developed qualitative specification patterns to facili...
Sascha Konrad, Betty H. C. Cheng
SSD
2001
Springer
218views Database» more  SSD 2001»
14 years 2 months ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos