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JCP
2008
171views more  JCP 2008»
13 years 10 months ago
Mining Frequent Subgraph by Incidence Matrix Normalization
Existing frequent subgraph mining algorithms can operate efficiently on graphs that are sparse, have vertices with low and bounded degrees, and contain welllabeled vertices and edg...
Jia Wu, Ling Chen
ICMT
2009
Springer
14 years 4 months ago
A Collection Operator for Graph Transformation
Abstract. Graph transformation has a well-established theory and associated tools that can be used to perform model transformations. However, the lack of a construct to match and t...
Roy Grønmo, Stein Krogdahl, Birger Mø...
ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
14 years 4 months ago
Subgraph Support in a Single Large Graph
—Defining the support (or frequency) of a subgraph is trivial when a database of graphs is given: it is simply the number of graphs in the database that contain the subgraph. Ho...
Mathias Fiedler, Christian Borgelt
MLG
2007
Springer
14 years 4 months ago
Support Computation for Mining Frequent Subgraphs in a Single Graph
—Defining the support (or frequency) of a subgraph is trivial when a database of graphs is given: it is simply the number of graphs in the database that contain the subgraph. Ho...
Mathias Fiedler, Christian Borgelt
ICDM
2006
IEEE
81views Data Mining» more  ICDM 2006»
14 years 4 months ago
Full Perfect Extension Pruning for Frequent Graph Mining
Mining graph databases for frequent subgraphs has recently developed into an area of intensive research. Its main goals are to reduce the execution time of the existing basic algo...
Christian Borgelt, Thorsten Meinl