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Metric forensics: a multi-level approach for mining volatile graphs
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Authors:
Keith Henderson
Lawrence Livermore National Laboratory, Livermore, CA, USA
Tina Eliassi-Rad
Lawrence Livermore National Laboratory, Livermore, CA, USA
Christos Faloutsos
Carnegie Mellon University, Pittsburgh, PA, USA
Leman Akoglu
Carnegie Mellon University, Pittsburgh, PA, USA
Lei Li
Carnegie Mellon University, Pittsburgh, PA, USA
Koji Maruhashi
Fujitsu Laboratories Ltd., Kawasaki, Japan
B. Aditya Prakash
Carnegie Mellon University, Pittsburgh, PA, USA
Hanghang Tong
Carnegie Mellon University, Pittsburgh, PA, USA
2010 Article
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Published in:
· Proceeding
KDD '10
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Pages 163-172
ACM
New York, NY
, USA
©2010
table of contents
ISBN: 978-1-4503-0055-1
doi>
10.1145/1835804.1835828
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Tags:
algorithms
data mining
design
experimentation
graph mining
graphs and networks
performance
temporal analysis
volatile graphs
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