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

List price: £90.00


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

ISBN 10: 352733291X
ISBN 13: 9783527332915
Publisher: WILEY-VCH VERLAG GMBH
Pub. date: 10 July, 2013
Series: Quantitative and Network Biology (VCH)
Pages: 308
Description: The most up-to-date introduction to network complexity. Using classical and non-classical approaches, the well-balanced contributions cover a wide spectrum of disciplines from the regulation of gene networks via ecological networks to case studies from social sciences.
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: Germany
Imprint: Wiley-VCH Verlag GmbH
Returns: Returnable
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ADVANCES IN NETWORK COMPLEXITY
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COMPUTATIONAL NETWORK ANALYSIS WITH R
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COMPUTATIONAL NETWORK THEORY
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ELEMENTS OF DATA SCIENCE, MACHINE LEARNING, AND ARTIFICIAL INTELLIGENCE USING R (HB)
FRONTIERS IN DATA SCIENCE
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GRAPH POLYNOMIALS
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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
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STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
STATISTICAL AND MACHINE LEARNING APPROACHES FOR NETWORK ANALYSIS
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STATISTICAL DIAGNOSTICS FOR CANCER
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STATISTICAL DIAGNOSTICS FOR CANCER
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STATISTICAL MODELLING OF MOLECULAR DESCRIPTORS IN QSAR/QSPR
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STRUCTURAL ANALYSIS OF COMPLEX NETWORKS
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