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Statistical and Machine Learning Approaches for Network Analysis Book

Statistical and Machine Learning Approaches for Network Analysis
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Statistical and Machine Learning Approaches for Network Analysis, Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing t, Statistical and Machine Learning Approaches for Network Analysis
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  • Statistical and Machine Learning Approaches for Network Analysis
  • Written by author Matthias Dehmer
  • Published by Wiley, John & Sons, Incorporated, 8/7/2012
  • Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing t
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Authors

Preface ix

Contributors xi

1 A Survey of Computational Approaches to Reconstruct and Partition Biological Networks 1
Lipi Acharya, Thair Judeh, and Dongxiao Zhu

2 Introduction to Complex Networks: Measures, Statistical Properties, and Models 45
Kazuhiro Takemoto and Chikoo Oosawa

3 Modeling for Evolving Biological Networks 77
Kazuhiro Takemoto and Chikoo Oosawa

4 Modularity Configurations in Biological Networks with Embedded Dynamics 109
Enrico Capobianco, Antonella Travaglione, and Elisabetta Marras

5 Influence of Statistical Estimators on the Large-Scale Causal Inference of Regulatory Networks 131
Ricardo de Matos Simoes and Frank Emmert-Streib

6 Weighted Spectral Distribution: A Metric for Structural Analysis of Networks 153
Damien Fay, Hamed Haddadi, Andrew W. Moore, Richard Mortier, Andrew G. Thomason, and Steve Uhlig

7 The Structure of an Evolving Random Bipartite Graph 191
Reinhard Kutzelnigg

8 Graph Kernels 217
Matthias Rupp

9 Network-Based Information Synergy Analysis for Alzheimer Disease 245
Xuewei Wang, Hirosha Geekiyanage, and Christina Chan

10 Density-Based Set Enumeration in Structured Data 261
Elisabeth Georgii and Koji Tsuda

11 Hyponym Extraction Employing a Weighted Graph Kernel 303
Tim vor der Br¨uck

Index 327


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Statistical and Machine Learning Approaches for Network Analysis, Explore the multidisciplinary nature of complex networks through machine learning techniques
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Statistical and Machine Learning Approaches for Network Analysis, Explore the multidisciplinary nature of complex networks through machine learning techniques
<i>Statistical and Machine Learning Approaches for Network Analysis</i> provides an accessible framework for structurally analyzing graphs by bringing t, Statistical and Machine Learning Approaches for Network Analysis

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Statistical and Machine Learning Approaches for Network Analysis, Explore the multidisciplinary nature of complex networks through machine learning techniques
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