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» Context-Aware Object Connection Discovery in Large Graphs
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IEAAIE
2005
Springer
14 years 4 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
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
12 years 1 months ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
TKDE
2008
125views more  TKDE 2008»
13 years 10 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
ICAT
2007
IEEE
14 years 5 months ago
"Space Frames": Using space, color and animation in the visualization of complex graph systems
This study concerns the development of 3D interfaces that aid the navigation of large data structures through the usage of the HSV color space, and the ensuing “spatial frames...
Elif E. Ayiter, Selim Balcisoy, Murat Germen, Isma...
ICDCS
2002
IEEE
14 years 3 months ago
Incremental Replication for Mobility Support in OBIWAN
The need for sharing is well known in a large number of distributed collaborative applications. These applications are difficult to develop for wide area (possibly mobile) networ...
Luís Veiga, Paulo Ferreira