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SDM
2012
SIAM
278views Data Mining» more  SDM 2012»
13 years 8 months ago
Legislative Prediction via Random Walks over a Heterogeneous Graph
In this article, we propose a random walk-based model to predict legislators’ votes on a set of bills. In particular, we first convert roll call data, i.e. the recorded votes a...
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
SDM
2012
SIAM
289views Data Mining» more  SDM 2012»
13 years 8 months ago
Mining Compressing Sequential Patterns
Compression based pattern mining has been successfully applied to many data mining tasks. We propose an approach based on the minimum description length principle to extract seque...
Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin,...
SDM
2012
SIAM
293views Data Mining» more  SDM 2012»
13 years 8 months ago
RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
One practical inconvenience in frequent pattern mining is that it often yields a flood of common or uninformative patterns, and thus we should carefully adjust the minimum suppor...
Yoshitaka Kameya, Taisuke Sato
SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 8 months ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
SDM
2012
SIAM
297views Data Mining» more  SDM 2012»
13 years 8 months ago
A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
Adam Lugowski, David M. Alber, Aydin Buluç,...