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Towards an Information Theory of Complex Networks
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 theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book's major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks. This ...
Integrating Biomedical Information
Organisations in health care are moving into the information age since two or three decades. Never was the pace of this movement as fast as today. "Integrating Biomedical Information: from e-Cell to e-Patient", the title of this EFMI publication, indicates the broad spectrum of Medical Informatics. Both concepts in the title are new - the result of data collection, data processing and information analysis. It is expected this data and information to be the knowledge base for a better understanding of mankind and also to assist us in making information (evidence) based decisions in health care. We expect that this will give us a better perspective of the human body, its functions and that it ...
Structural Analysis of Complex Networks
Filling a gap in literature, this self-contained book presents theoretical and application-oriented results that allow for a structural exploration of complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems. Applications to biology, chemistry, linguistics, and data analysis are emphasized. The book is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. It may also be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods.
Successes and New Directions in Data Mining
"This book addresses existing solutions for data mining, with particular emphasis on potential real-world applications. It captures defining research on topics such as fuzzy set theory, clustering algorithms, semi-supervised clustering, modeling and managing data mining patterns, and sequence motif mining"--Provided by publisher.
Medical Biostatistics for Complex Diseases
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 by the systems properties of gene networks and their interrelations, instead of individual genes, whose malfunctioning manifests in pathological phenotypes, thus making the analysis of the resulting large data sets particularly challenging. This is why novel approaches are needed to tackle this problem efficiently on a systems level. Written by computational biologists and biostatisticians, this book is an invaluable resource for a large number of researchers working on basic but also applied aspects of biomedical data analysis emphasizing the pathway level.
Kneeling Before Corn
The cultivation of the three sisters (corn, beans, and squash) on subsistence farms in El Salvador is a multispecies, world-making, and ongoing process. Milpa describes a small subsistence corn farm. It is derived from the word milli (‘field’, or a piece of land under active cultivation) in Nahuatl. The milpa is a farming practice that uses perennial, intercropping, and swidden (fire and fallow) techniques that predates the Spanish conquest of the Americas. Kneeling Before Corn focuses on the intimate relations that develop between plants and humans in the milpas of the northern rural region of El Salvador. It explores the ways in which more-than-human intimacies travel away from and ret...
Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.
Advances in Network Complexity
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.
