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IADIS
2008
13 years 9 months ago
Dagma: Mining Directed Acyclic Graphs
We present how to efficiently mine a set of directed acyclic graphs (DAGs) for unconnected, both multi- or single-rooted, and induced fragments. With a new canonical form that is ...
T. Werth, A. Dreweke, Marc Wörlein, Ingrid Fi...
KDD
2010
ACM
240views Data Mining» more  KDD 2010»
13 years 11 months ago
Diagnosing memory leaks using graph mining on heap dumps
Memory leaks are caused by software programs that prevent the reclamation of memory that is no longer in use. They can cause significant slowdowns, exhaustion of available storag...
Evan K. Maxwell, Godmar Back, Naren Ramakrishnan
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
14 years 9 months ago
A Partition-Based Approach to Graph Mining
Existing graph mining algorithms typically assume that databases are relatively static and can fit into the main memory. Mining of subgraphs in a dynamic environment is currently ...
Junmei Wang, Wynne Hsu, Mong-Li Lee, Chang Sheng
KDD
2005
ACM
104views Data Mining» more  KDD 2005»
14 years 8 months ago
Mining tree queries in a graph
We present an algorithm for mining tree-shaped patterns in a large graph. Novel about our class of patterns is that they can contain constants, and can contain existential nodes w...
Bart Goethals, Eveline Hoekx, Jan Van den Bussche
IFIP12
2007
13 years 9 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters