731 search results - page 10 / 147 » Taxonomy-superimposed graph mining |
BMCBI
2008
13 years 7 months ago
2008
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
How can we find communities in dynamic networks of social interactions, such as who calls whom, who emails whom, or who sells to whom? How can we spot discontinuity timepoints in ...
ICAI
2008
13 years 9 months ago
2008
ICDE
2006
IEEE
14 years 9 months ago
2006
IEEE
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...