44 search results - page 1 / 9 » GraphSig: A Scalable Approach to Mining Significant Subgraph... |
ICDE
2009
IEEE
14 years 6 months ago
2009
IEEE
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
SIGMOD
2010
ACM
13 years 4 months ago
2010
ACM
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
ICDE
2006
IEEE
14 years 5 months ago
2006
IEEE
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 ...
EDBT
2008
ACM
13 years 6 months ago
2008
ACM
New graph structures where node labels are members of hierarchically organized ontologies or taxonomies have become commonplace in different domains, e.g., life sciences. It is a ...
CIKM
2009
Springer
13 years 11 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...