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Most popular at the top
- Birkhäuser Boston 2010; US$ 162.88
Filling a gap in the literature, this self-contained book presents theoretical and application-oriented results to structurally explore complex networks. Applications to biology, chemistry, linguistics, and data analysis are emphasized. more...
- Deutscher Universitätsverlag 2007; US$ 38.50
Matthias Dehmer rückt das Web Structure Mining, insbesondere die strukturelle Analyse Web-basierter Hypertexte auf Grundlage gerichteter Graphen, in den Mittelpunkt seiner Untersuchung. Der Autor stellt ein graphentheoretisches Modell zur Bestimmung der strukturellen Ähnlichkeit einer Klasse von gerichteten Graphen vor. Auf Basis des angesprochenen... more...
- Springer US 2008; US$ 117.21
This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts. more...
- Wiley 2008; US$ 239.00 US$ 207.13
This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used. From the contents: * Understanding and Preprocessing Microarray Data * Clustering of Microarray Data * Reconstruction of the Yeast Cell Cycle by Partial Correlations... more...
- Wiley 2009; US$ 264.00 US$ 228.80
Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and... more...
- Wiley 2010; US$ 210.00 US$ 182.00
A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases. Such diseases include cancer and cardiovascular disease, and constitute the major health challenges in industrialized countries. They are characterized... more...
- Wiley 2012; US$ 127.00 US$ 110.07
Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different... more...
- CRC Press 2014; US$ 124.95
The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents and demonstrates existing and novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical techniques,... more...
- Wiley 2012; US$ 159.95 US$ 138.62
This ready reference discusses different methods for statistically analyzing and validating data created with high-throughput methods. As opposed to other titles, this book focusses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or less complex biological network. From a methodological... more...
- Birkhäuser Boston 2011; US$ 124.55
For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents... more...