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» Discovering Interesting Subsets Using Statistical Analysis
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ASC
2011
13 years 4 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
ISMB
1993
13 years 11 months ago
Detection of Correlations in tRNA Sequences with Structural Implications
Using a flexible representation of biological sequences, we have performed a comparative analysis of 1208 known tRNA sequences. We believe we our technique is a more sensitive met...
Tod M. Klingler, Douglas L. Brutlag
CVPR
2008
IEEE
14 years 12 months ago
Geo-located image analysis using latent representations
Image categorization is undoubtedly one of the most challenging open problems faced in Computer Vision, far from being solved by employing pure visual cues. Recently, additional t...
Marco Cristani, Alessandro Perina, Umberto Castell...
BPM
2008
Springer
192views Business» more  BPM 2008»
13 years 12 months ago
Trace Clustering in Process Mining
Process mining has proven to be a valuable tool for analyzing operational process executions based on event logs. Existing techniques perform well on structured processes, but stil...
Minseok Song, Christian W. Günther, Wil M. P....
CIARP
2006
Springer
14 years 1 months ago
Alignment of Paragraphs in Bilingual Texts Using Bilingual Dictionaries and Dynamic Programming
Parallel text alignment is a special type of pattern recognition task aimed to discover the similarity between two sequences of symbols. Given the same text in two different langua...
Alexander F. Gelbukh, Grigori Sidorov