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Item Details
Title: STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
By: Matthias Dehmer, Subhash C. Basak
Format: Electronic book text

List price: £122.40


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 1118347013
ISBN 13: 9781118347010
Publisher: JOHN WILEY & SONS INC
Pub. date: 25 June, 2012
Series: Wiley Series in Computational Statistics 707
Pages: 352
Publication: US
Imprint: John Wiley & Sons Inc
Returns: Non-returnable
Some other items by this author:
ADVANCES IN MATHEMATICAL CHEMISTRY AND APPLICATIONS: VOLUME 1 (PB)
ADVANCES IN MATHEMATICAL CHEMISTRY AND APPLICATIONS: VOLUME 2 (PB)
ADVANCES IN NETWORK COMPLEXITY
ADVANCES IN NETWORK COMPLEXITY
ADVANCES IN NETWORK COMPLEXITY
ADVANCES IN NETWORK COMPLEXITY (HB)
ANALYSIS OF COMPLEX NETWORKS
ANALYSIS OF COMPLEX NETWORKS (HB)
ANALYSIS OF MICROARRAY DATA
ANALYSIS OF MICROARRAY DATA (HB)
APPLIED STATISTICS FOR NETWORK BIOLOGY
APPLIED STATISTICS FOR NETWORK BIOLOGY
APPLIED STATISTICS FOR NETWORK BIOLOGY
APPLIED STATISTICS FOR NETWORK BIOLOGY (HB)
BIG DATA OF COMPLEX NETWORKS
BIG DATA OF COMPLEX NETWORKS
BIG DATA OF COMPLEX NETWORKS
BIG DATA OF COMPLEX NETWORKS (HB)
COMPUTATIONAL NETWORK ANALYSIS WITH R
COMPUTATIONAL NETWORK ANALYSIS WITH R
COMPUTATIONAL NETWORK ANALYSIS WITH R
COMPUTATIONAL NETWORK ANALYSIS WITH R (HB)
COMPUTATIONAL NETWORK THEORY
COMPUTATIONAL NETWORK THEORY
COMPUTATIONAL NETWORK THEORY
COMPUTATIONAL NETWORK THEORY (HB)
ELEMENTS OF DATA SCIENCE, MACHINE LEARNING, AND ARTIFICIAL INTELLIGENCE USING R (HB)
FRONTIERS IN DATA SCIENCE
FRONTIERS IN DATA SCIENCE (HB)
GRAPH POLYNOMIALS
GRAPH POLYNOMIALS (HB)
INFORMATION THEORY AND STATISTICAL LEARNING (HB)
INFORMATION THEORY AND STATISTICAL LEARNING (PB)
MATHEMATICAL FOUNDATIONS AND APPLICATIONS OF GRAPH ENTROPY
MATHEMATICAL FOUNDATIONS AND APPLICATIONS OF GRAPH ENTROPY
MATHEMATICAL FOUNDATIONS AND APPLICATIONS OF GRAPH ENTROPY
MATHEMATICAL FOUNDATIONS AND APPLICATIONS OF GRAPH ENTROPY (HB)
MATHEMATICAL FOUNDATIONS OF DATA SCIENCE USING R
MATHEMATICAL FOUNDATIONS OF DATA SCIENCE USING R (HB)
MEDICAL BIOSTATISTICS FOR COMPLEX DISEASES
MEDICAL BIOSTATISTICS FOR COMPLEX DISEASES (HB)
QUANTITATIVE GRAPH THEORY
QUANTITATIVE GRAPH THEORY (HB)
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS (HB)
STATISTICAL DIAGNOSTICS FOR CANCER
STATISTICAL DIAGNOSTICS FOR CANCER
STATISTICAL DIAGNOSTICS FOR CANCER
STATISTICAL DIAGNOSTICS FOR CANCER (HB)
STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR
STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR
STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR
STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR (HB)
STRUCTURAL ANALYSIS OF COMPLEX NETWORKS
STRUCTURAL ANALYSIS OF COMPLEX NETWORKS (HB)
STRUKTURELLE ANALYSE WEB-BASIERTER DOKUMENTE (PB)
TOWARDS AN INFORMATION THEORY OF COMPLEX NETWORKS (HB)
ZIKA VIRUS (PB)

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