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» Predictive Graph Mining
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DIS
2004
Springer
13 years 10 months ago
Predictive Graph Mining
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...
Andreas Karwath, Luc De Raedt
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
13 years 6 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
14 years 5 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
KDD
2010
ACM
327views Data Mining» more  KDD 2010»
13 years 8 months ago
Cold start link prediction
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...
IDA
2009
Springer
13 years 11 months ago
Selecting Computer Architectures by Means of Control-Flow-Graph Mining
Abstract Deciding which computer architecture provides the best performance for a certain program is an important problem in hardware design and benchmarking. While previous approa...
Frank Eichinger, Klemens Böhm