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Analysis of Complex Networks

Mathematical problems such as graph theory problems are of increasing importance for the analysis of;...

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Statistical Modelling of Molecular Descriptors in QSAR/QSPR

This handbook and ready reference presents a combination of statistical, information-theoretic, and ;...

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Frontiers in Data Science

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad de;...

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Frontiers in Data Science

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad de;...

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Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry

This new title in the well-established Quantitative Network Biology series includes innovative and;...

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Mathematical Foundations and Applications of Graph Entropy

This latest addition to the successful Network Biology series presents current methods for determini;...

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Applied Statistics for Network Biology: Methods in Systems Biology

The book introduces to the reader a number of cutting edge statistical methods which can e used for ;...

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The Sense of Suffering

power. Contributors include: Emese Balint, Maria Berbara, Joseph Campana, Andreas Dehmer, Jan Frans van Dijkhuizen, Karl A.E. Enenkel, Lia;

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Quantitative Graph Theory

The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathemat;...

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Statistical and Machine Learning Approaches for Network Analysis

Explore the multidisciplinary nature of complex networks through machine learning techniques Statist;...

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Big Data of Complex Networks

readers handle big data Matthias Dehmer received his PhD in computer science from the Darmstadt University of Technology, Germany. Currently;

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Big Data of Complex Networks

innovative techniques to help readers handle big data Matthias Dehmer received his PhD in computer science from the Darmstadt University;

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