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» Using a Hash-Based Method for Apriori-Based Graph Mining
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SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 5 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...
BMCBI
2008
149views more  BMCBI 2008»
13 years 8 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
CIKM
2010
Springer
13 years 7 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
14 years 5 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
PKDD
2009
Springer
124views Data Mining» more  PKDD 2009»
14 years 3 months ago
Capacity Control for Partially Ordered Feature Sets
Abstract. Partially ordered feature sets appear naturally in many classification settings with structured input instances, for example, when the data instances are graphs and a fe...
Ulrich Rückert