63 search results - page 5 / 13 » Discovering frequent topological structures from graph datas... |
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
CCR
2006
13 years 7 months ago
2006
We calculate an extensive set of characteristics for Internet AS topologies extracted from the three data sources most frequently used by the research community: traceroutes, BGP,...
EDBT
2012
ACM
11 years 10 months ago
2012
ACM
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
ADC
2003
Springer
14 years 21 days ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
AFRIGRAPH
2001
ACM
13 years 11 months ago
2001
ACM
: Cross-sectioning is a popular method for visualizing the complicated inner structures of three-dimensional volume datasets. However, the process is usually manual, meaning that a...