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CAD
2006
Springer
13 years 8 months ago
A C-tree decomposition algorithm for 2D and 3D geometric constraint solving
In this paper, we propose a method which can be used to decompose a 2D or 3D constraint problem into a C-tree. With this decomposition, a geometric constraint problem can be reduc...
Xiao-Shan Gao, Qiang Lin, Gui-Fang Zhang
ICDE
2008
IEEE
159views Database» more  ICDE 2008»
14 years 10 months ago
Fast Graph Pattern Matching
Due to rapid growth of the Internet technology and new scientific/technological advances, the number of applications that model data as graphs increases, because graphs have high e...
Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S...
TKDE
2008
128views more  TKDE 2008»
13 years 8 months ago
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
Mixed-drove spatiotemporal co-occurrence patterns (MDCOPs) represent subsets of two or more different object-types whose instances are often located in spatial and temporal proximi...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
14 years 9 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
ICDE
2010
IEEE
290views Database» more  ICDE 2010»
14 years 26 days ago
The Model-Summary Problem and a Solution for Trees
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
Biswanath Panda, Mirek Riedewald, Daniel Fink