253 search results - page 1 / 51 » Using and Learning Semantics in Frequent Subgraph Mining |
KDD
2005
ACM
14 years 11 months ago
2005
ACM
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
CIKM
2009
Springer
14 years 5 months ago
2009
Springer
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
MLG
2007
Springer
14 years 5 months ago
2007
Springer
While recent algorithms for mining the frequent subgraphs of a database are efficient in the general case, these algorithms tend to do poorly on databases that have a few or no la...
KDD
2004
ACM
14 years 11 months ago
2004
ACM
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...
SADM
2010
13 years 9 months ago
2010
The goal of frequent subgraph mining is to detect subgraphs that frequently occur in a dataset of graphs. In classification settings, one is often interested in discovering discr...