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SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
15 years 9 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
WCRE
1999
IEEE
15 years 4 months ago
Experiments with Clustering as a Software Remodularization Method
As valuable software systems get old, reverse engineering becomes more and more important to the companies that have to maintain the code. Clustering is a key activity in reverse ...
Nicolas Anquetil, Timothy Lethbridge
BMCBI
2010
129views more  BMCBI 2010»
14 years 12 months ago
Uncovering packaging features of co-regulated modules based on human protein interaction and transcriptional regulatory networks
Background: Network co-regulated modules are believed to have the functionality of packaging multiple biological entities, and can thus be assumed to coordinate many biological fu...
Lina Chen, Hong Wang, Liangcai Zhang, Wan Li, Qian...
BMCBI
2010
118views more  BMCBI 2010»
14 years 12 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
APWEB
2010
Springer
15 years 3 months ago
Learning to Find Interesting Connections in Wikipedia
To help users answer the question, what is the relation between (real world) entities or concepts, we might need to go well beyond the borders of traditional information retrieval ...
Marek Ciglan, Etienne Riviere, Kjetil Nørv&...