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» An Algebraic Approach to Data Mining: Some Examples
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ICDE
2012
IEEE
277views Database» more  ICDE 2012»
13 years 8 months ago
Aggregate Query Answering on Possibilistic Data with Cardinality Constraints
— Uncertainties in data arise for a number of reasons: when the data set is incomplete, contains conflicting information or has been deliberately perturbed or coarsened to remov...
Graham Cormode, Divesh Srivastava, Entong Shen, Ti...
VISUALIZATION
1994
IEEE
15 years 10 months ago
A Lattice Model for Data Display
We will try to address the need for a formal foundation for visualization by taking an analytic approach to defining D. Since an arbitrary function D: U V will not produce display...
William L. Hibbard, Charles R. Dyer, Brian E. Paul
KDD
2012
ACM
229views Data Mining» more  KDD 2012»
13 years 8 months ago
Finding trendsetters in information networks
Influential people have an important role in the process of information diffusion. However, there are several ways to be influential, for example, to be the most popular or the...
Diego Sáez-Trumper, Giovanni Comarela, Virg...
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,...
CASES
2006
ACM
16 years 1 days ago
Mitigating soft error failures for multimedia applications by selective data protection
With advances in process technology, soft errors (SE) are becoming an increasingly critical design concern. Due to their large area and high density, caches are worst hit by soft ...
Kyoungwoo Lee, Aviral Shrivastava, Ilya Issenin, N...