391 search results - page 40 / 79 » Using transposition for pattern discovery from microarray da... |
BMCBI
2007
14 years 9 months ago
2007
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
WWW
2010
ACM
15 years 4 months ago
2010
ACM
The World-Wide Web consists not only of a huge number of unstructured texts, but also a vast amount of valuable structured data. Web tables [2] are a typical type of structured in...
KDD
1997
ACM
15 years 1 months ago
1997
ACM
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
IDA
2006
Springer
14 years 9 months ago
2006
Springer
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
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CINQ
2004
Springer
15 years 3 months ago
2004
Springer
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...