Statistical and machine learning approaches for network analysis /
"This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and...
| Main Author: | Dehmer, Matthias, 1968- |
|---|---|
| Other Authors: | Basak, Subhash C., 1945- |
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, N.J. :
Wiley,
2012.
|
| Series: | Wiley series in computational statistics ;
707 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Bayesian networks for probabilistic inference and decision analysis in forensic science /
by: Taroni, Franco, et al.
Published: (2014) -
Improving surveys with paradata : analytic use of process information /
Published: (2013) -
Semi-supervised and unsupervised machine learning : novel strategies /
by: Albalate, Amparo
Published: (2011) -
Visualize this : the FlowingData guide to design, visualization, and statistics /
by: Yau, Nathan
Published: (2011) -
Success probability estimation with applications to clinical trials
by: De Martini, Daniele, 1965-
Published: (2013)