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» Identifying graphs from noisy and incomplete data
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SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
14 years 4 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
CIKM
2008
Springer
13 years 9 months ago
Dr. Searcher and Mr. Browser: a unified hyperlink-click graph
We introduce a unified graph representation of the Web, which includes both structural and usage information. We model this graph using a simple union of the Web's hyperlink ...
Barbara Poblete, Carlos Castillo, Aristides Gionis
CONEXT
2009
ACM
13 years 8 months ago
Where the sidewalk ends: extending the internet as graph using traceroutes from P2P users
An accurate Internet topology graph is important in many areas of networking, from deciding ISP business relationships to diagnosing network anomalies. Most Internet mapping effor...
Kai Chen, David R. Choffnes, Rahul Potharaju, Yan ...
ICDE
2009
IEEE
143views Database» more  ICDE 2009»
14 years 9 months ago
Fa: A System for Automating Failure Diagnosis
Abstract-Failures of Internet services and enterprise systems lead to user dissatisfaction and considerable loss of revenue. Since manual diagnosis is often laborious and slow, the...
Songyun Duan, Shivnath Babu, Kamesh Munagala
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 4 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...