253 search results - page 17 / 51 » Using and Learning Semantics in Frequent Subgraph Mining |
107
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ITRE
2005
IEEE
15 years 5 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
WWW
2010
ACM
15 years 6 months ago
2010
ACM
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
100
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ICDM
2006
IEEE
15 years 5 months ago
2006
IEEE
There has been a lot of recent interest in mining patterns from graphs. Often, the exact structure of the patterns of interest is not known. This happens, for example, when molecu...
113
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CIKM
2009
Springer
15 years 6 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...
OTM
2007
Springer
15 years 5 months ago
2007
Springer
Creating executable semantic mappings is an important task for ontology-based information integration. Although it is argued that mapping tools may require interaction from humans ...