1525 search results - page 31 / 305 » From Databases to Graph Visualization |
107
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IEAAIE
2005
Springer
15 years 3 months ago
2005
Springer
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 ...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Incorporating probabilities into the semantics of incomplete databases has posed many challenges, forcing systems to sacrifice modeling power, scalability, or treatment of relatio...
101
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EDBT
2012
ACM
13 years 2 days ago
2012
ACM
In this paper, we study how to find maximal k-edge-connected subgraphs from a large graph. k-edge-connected subgraphs can be used to capture closely related vertices, and findin...
CEC
2007
IEEE
2007
IEEE
Mining association rules from databases with continuous attributes using genetic network programming
15 years 1 months ago
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
85
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APVIS
2007
14 years 11 months ago
2007
The level-of-detail techniques presented in this paper enable a comprehensible interactive visualization of large and complex clustered graph layouts either in 2D or 3D. Implicit ...