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» Modeling Relational Data as Graphs for Mining
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SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
16 years 1 months ago
Structure and Dynamics of Research Collaboration in Computer Science.
Complex systems exhibit emergent patterns of behavior at different levels of organization. Powerful network analysis methods, developed in physics and social sciences, have been s...
Andre Nash, Christian Bird, Earl T. Barr, Premkuma...
GFKL
2005
Springer
88views Data Mining» more  GFKL 2005»
15 years 10 months ago
The Partial Robust M-approach
The PLS approach is a widely used technique to estimate path models relating various blocks of variables measured from the same population. It is frequently applied in the social s...
Sven Serneels, Christophe Croux, Peter Filzmoser, ...
COMSWARE
2007
IEEE
15 years 11 months ago
Analysis of Dynamic Sensor Networks: Power Law Then What?
— Recent studies on wireless sensor networks (WSN) have shown that the duration of contacts and inter-contacts are power law distributed. While this is a strong property of these...
Eric Fleury, Jean-Loup Guillaume, Céline Ro...
SDM
2010
SIAM
149views Data Mining» more  SDM 2010»
15 years 6 months ago
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
NIPS
2004
15 years 6 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto