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ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
16 years 14 days ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
CIKM
2003
Springer
15 years 11 months ago
Hierarchical graph indexing
Traffic analysis, in the context of Telecommunications or Internet and Web data, is crucial for large network operations. Data in such networks is often provided as large graphs w...
James Abello, Yannis Kotidis
SEMWEB
2009
Springer
15 years 11 months ago
DOGMA: A Disk-Oriented Graph Matching Algorithm for RDF Databases
RDF is an increasingly important paradigm for the representation of information on the Web. As RDF databases increase in size to approach tens of millions of triples, and as sophis...
Matthias Bröcheler, Andrea Pugliese, V. S. Su...
CIKM
2009
Springer
15 years 10 months ago
Efficient processing of group-oriented connection queries in a large graph
We study query processing in large graphs that are fundamental data model underpinning various social networks and Web structures. Given a set of query nodes, we aim to find the g...
James Cheng, Yiping Ke, Wilfred Ng
PAKDD
2011
ACM
209views Data Mining» more  PAKDD 2011»
14 years 9 months ago
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation
Abstract. Given a graph with billions of nodes and edges, how can we find patterns and anomalies? Are there nodes that participate in too many or too few triangles? Are there clos...
U. Kang, Brendan Meeder, Christos Faloutsos