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KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 1 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
DAWAK
2010
Springer
13 years 9 months ago
Frequent Sub-graph Mining on Edge Weighted Graphs
Frequent sub-graph mining entails two significant overheads. The first is concerned with candidate set generation. The second with isomorphism checking. These are also issues with ...
Chuntao Jiang, Frans Coenen, Michele Zito
MSR
2006
ACM
14 years 2 months ago
Mining additions of method calls in ArgoUML
In this paper we refine the classical co-change to the addition of method calls. We use this concept to find usage patterns and to identify cross-cutting concerns for ArgoUML. C...
Thomas Zimmermann, Silvia Breu, Christian Lindig, ...
KDD
2007
ACM
148views Data Mining» more  KDD 2007»
14 years 8 months ago
Detecting research topics via the correlation between graphs and texts
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its...
Yookyung Jo, Carl Lagoze, C. Lee Giles
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 8 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi