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» A Multi-Resolution Relational Data Model
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SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
14 years 15 days ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
IPPS
2007
IEEE
15 years 4 months ago
On the Power of the Multiple Associative Computing (MASC) Model Related to That of Reconfigurable Bus-Based Models
: The MASC model is a multi-SIMD model that uses control parallelism to coordinate the interaction of data parallel threads. It supports a generalized associative style of parallel...
Mingxian Jin, Johnnie W. Baker
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
15 years 1 months ago
Modeling relational events via latent classes
Many social networks can be characterized by a sequence of dyadic interactions between individuals. Techniques for analyzing such events are of increasing interest. In this paper,...
Christopher DuBois, Padhraic Smyth
CORR
2007
Springer
151views Education» more  CORR 2007»
14 years 9 months ago
Decision tree modeling with relational views
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Fadila Bentayeb, Jérôme Darmont
ESWS
2008
Springer
14 years 11 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...