94 search results - page 7 / 19 » Graph mining: Laws, generators, and algorithms |
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
AOSD
2007
ACM
13 years 11 months ago
2007
ACM
Inspired by our past manual aspect mining experiences, this paper describes a random walk model to approximate how crosscutting concerns can be discovered in the absence of domain...
SSDBM
2007
IEEE
14 years 1 months ago
2007
IEEE
We present a novel application of graph database mining to identify tertiary motifs in RNA structures. In od, we abstract an RNA molecule as a labeled graph and use a frequent sub...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Subgraph patterns are widely used in graph classification, but their effectiveness is often hampered by large number of patterns or lack of discrimination power among individual p...
CIKM
2010
Springer
13 years 2 months ago
2010
Springer
Recent advances in data processing have enabled the generation of large and complex graphs. Many researchers have developed techniques to investigate informative structures within...