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» Graph Mining based on a Data Partitioning Approach
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ASWC
2009
Springer
15 years 7 months ago
Querying the Web of Data: A Formal Approach
Abstract. The increasing amount of interlinked RDF data has finally made available the necessary building blocks for the web of data. This in turns makes it possible (and interest...
Paolo Bouquet, Chiara Ghidini, Luciano Serafini
PR
2006
116views more  PR 2006»
15 years 17 days ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
ECCV
2008
Springer
16 years 2 months ago
Prior-Based Piecewise-Smooth Segmentation by Template Competitive Deformation Using Partitions of Unity
We propose a new algorithm for two-phase, piecewise-smooth segmentation with shape prior. The image is segmented by a binary template that is deformed by a regular geometric transf...
Benoit Mory, Laurent D. Cohen, Oudom Somphone, Sh&...
AI
2002
Springer
15 years 15 days ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
16 years 1 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...