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Item Details
Title: ADVANCES IN NETWORK COMPLEXITY
By: Matthias Dehmer (Editor), Abbe L. Mowshowitz (Editor), Frank Emmert-Streib (Editor)
Format: Electronic book text

List price: £84.00


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ISBN 10: 3527670483
ISBN 13: 9783527670482
Publisher: JOHN WILEY AND SONS LTD
Pub. date: 21 June, 2013
Series: Quantitative and Network Biology (VCH)
Pages: 308
Synopsis: A well-balanced overview of mathematical approaches to complex systems ranging from applications in chemistry and ecology to basic research questions on network complexity. Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib, well-known pioneers in the fi eld, have edited this volume with a view to balancing classical and modern approaches to ensure broad coverage of contemporary research problems. The book is a valuable addition to the literature and a must-have for anyone dealing with network compleaity and complexity issues.
Publication: UK
Imprint: Wiley-VCH Verlag GmbH
Returns: Non-returnable
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ADVANCES IN NETWORK COMPLEXITY
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ANALYSIS OF MICROARRAY DATA
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APPLICATIONS OF STATISTICAL AND MACHINE LEARNING METHODS IN BIOINFORMATICS (PB)
APPLIED STATISTICS FOR NETWORK BIOLOGY
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BIG DATA OF COMPLEX NETWORKS
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COMPUTATIONAL NETWORK ANALYSIS WITH R
COMPUTATIONAL NETWORK ANALYSIS WITH R
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COMPUTATIONAL NETWORK ANALYSIS WITH R (HB)
COMPUTATIONAL NETWORK THEORY
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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
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS (HB)
STATISTICAL DIAGNOSTICS FOR CANCER
STATISTICAL DIAGNOSTICS FOR CANCER
STATISTICAL DIAGNOSTICS FOR CANCER
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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
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VIRTUAL ORGANIZATION (HB)

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