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» Graph Mining based on a Data Partitioning Approach
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COMPSAC
2003
IEEE
15 years 8 months ago
Data-Flow-Based Unit Testing of Aspect-Oriented Programs
The current research so far in aspect-oriented software development is focused on problem analysis, software design, and implementation techniques. Even though the importance of s...
Jianjun Zhao
SIGMOD
2001
ACM
104views Database» more  SIGMOD 2001»
16 years 3 months ago
Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data
Approximating the joint data distribution of a multi-dimensional data set through a compact and accurate histogram synopsis is a fundamental problem arising in numerous practical ...
Amol Deshpande, Minos N. Garofalakis, Rajeev Rasto...
SAC
2009
ACM
15 years 10 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
CVPR
2011
IEEE
14 years 11 months ago
Cross-View Action Recognition via View Knowledge Transfer
In this paper, we present a novel approach to recognizing human actions from different views by view knowledge transfer. An action is originally modelled as a bag of visual-words ...
Jingen Liu
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
15 years 10 months ago
SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks
Correlated motif mining (CMM) is the problem to find overrepresented pairs of patterns, called motif pairs, in interacting protein sequences. Algorithmic solutions for CMM thereb...
Peter Boyen, Frank Neven, Dries Van Dyck, Aalt-Jan...