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Item Details
Title: MATHEMATICAL FOUNDATIONS AND APPLICATIONS OF GRAPH ENTROPY
By: Matthias Dehmer (Editor), Frank Emmert-Streib (Editor), Zengqiang Chen (Editor)
Format: Electronic book text

List price: £120.00


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ISBN 10: 3527693238
ISBN 13: 9783527693238
Publisher: JOHN WILEY AND SONS LTD
Pub. date: 25 July, 2016
Series: Quantitative and Network Biology (VCH)
Pages: 296
Synopsis: This latest addition to the successful Network Biology series presents current methods for determining the entropy of networks, making it the first to cover the recently established Quantitative Graph Theory. An excellent international team of editors and contributors provides an up-to-date outlook for the field, covering a broad range of graph entropy-related concepts and methods. The topics range from analyzing mathematical properties of methods right up to applying them in real-life areas. Filling a gap in the contemporary literature this is an invaluable reference for a number of disciplines, including mathematicians, computer scientists, computational biologists, and structural chemists.
Publication: UK
Imprint: Wiley-VCH Verlag GmbH
Returns: Non-returnable
Some other items by this author:
ADVANCES IN NETWORK COMPLEXITY
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ANALYSIS OF COMPLEX NETWORKS
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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
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
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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)
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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
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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
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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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STRUKTURELLE ANALYSE WEB-BASIERTER DOKUMENTE (PB)
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