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» OPAvion: mining and visualization in large graphs
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SIGMOD
2012
ACM
300views Database» more  SIGMOD 2012»
11 years 7 months ago
OPAvion: mining and visualization in large graphs
Leman Akoglu, Duen Horng Chau, U. Kang, Danai Kout...
IJMMS
2007
166views more  IJMMS 2007»
13 years 4 months ago
Visualization of large networks with min-cut plots, A-plots and R-MAT
What does a ‘normal’ computer (or social) network look like? How can we spot ‘abnormal’ sub-networks in the Internet, or web graph? The answer to such questions is vital f...
Deepayan Chakrabarti, Christos Faloutsos, Yiping Z...
ICDM
2008
IEEE
222views Data Mining» more  ICDM 2008»
13 years 11 months ago
GRAPHITE: A Visual Query System for Large Graphs
We present Graphite, a system that allows the user to visually construct a query pattern, finds both its exact and approximate matching subgraphs in large attributed graphs, and ...
Duen Horng Chau, Christos Faloutsos, Hanghang Tong...
IEAAIE
2005
Springer
13 years 10 months ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
14 years 4 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...