Download or read book Multivariate scaling methods and the reconstruction of social spaces written by Alice Barth and published by Verlag Barbara Budrich. This book was released on 2023-10-02 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Der Sammelband vereint Beiträge von führenden Forscherinnen und Forschern im Bereich statistischer Methoden und deren Anwendung in den Sozialwissenschaften mit einem besonderen Fokus auf sozialen Räumen. Multivariate Skalierungsmethoden für kategoriale Daten, speziell Korrespondenzanalyse, werden verwendet um die wichtigsten Dimensionen aus komplexen Kreuztabellen mit vielen Variablen zu extrahieren und Zusammenhänge in den Daten bildlich darzustellen. In diesem Band werden statistische Weiterentwicklungen, grundsätzliche methodologische Überlegungen und empirische Anwendungen multivariater Analysemethoden diskutiert. Mehrere Anwendungsbeispiele thematisieren verschiedene Aspekte des Raumes und deren soziologische Bedeutung: die Rekonstruktion „sozialer Räume“ mit statistischen Methoden, die Illustration räumlicher Beziehungen zwischen Nähe, Distanz und Ungleichheit, aber auch konkrete Interaktionen in urbanen Räumen. Der Band erscheint zur Würdigung der wissenschaftlichen Leistungen von Prof. Jörg Blasius.

Download or read book Multidimensional Scaling written by Joseph B. Kruskal and published by SAGE Publications. This book was released on 1978-01-01 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Outlines a set of techniques that enable a researcher to discuss the "hidden structure" of large data bases. These techniques use proximities, measures which indicate how similar or different objects are, to find a configuration of points which reflects the structure in the data.

Download or read book Multidimensional Scaling written by Forrest W. Young and published by Psychology Press. This book was released on 1987 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.

Download or read book Three Way Scaling written by Phipps Arabie and published by SAGE. This book was released on 1987 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a logical extension of #11, Multidimensional Scaling, providing an up-to-date overview of some three-way modesl for multidimensional scaling and related techniques.104

Download or read book Multidimensional Scaling Theory and Applications in the Behavioral Sciences Applications written by Mathematical Social Science Board and published by New York : Seminar Press. This book was released on 1972 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Post Disaster Reconstruction of the Built Environment written by Dilanthi Amaratunga and published by John Wiley & Sons. This book was released on 2011-06-13 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disasters threaten all parts of the world and they appear to be increasing in frequency, scale and intensity. Despite huge improvements in the emergency response, permanent reconstruction is often uncoordinated, inefficiently managed and slow to begin. International agencies are geared to an efficient response in terms of humanitarian relief, but they are not well versed in the requirements of long-term reconstruction, which is often constrained by lack of planning and poorly coordinated management. The construction industry is typically engaged in a range of critical activities after a disaster, including provision of temporary shelter in the immediate aftermath and restoration of permanent shelter and public infrastructure once the immediate humanitarian needs have been attended to. Post-Disaster Reconstruction of the Built Environment identifies the challenges that face the industry and highlights best practice to enable the construction industry to address those problems which make an effective response to these unexpected events difficult. Written by an international team of experts, this book will help researchers and advanced students of construction understand the problems faced by communities and the construction industry when faced with a natural or man-made disaster, and identify the planning and management processes required by the industry to mount an effective response.

Download or read book Dynamics of Joint Action Social Coordination and Multi Agent Activity written by Michael J. Richardson and published by Frontiers Media SA. This book was released on 2018-02-28 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multidimensional Scaling written by Forrest W. Young and published by . This book was released on 1983 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Classification Literature Automated Search Service written by and published by . This book was released on 1992 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Death Decay and Reconstruction written by A. Boddington and published by Manchester University Press. This book was released on 1987 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multivariate Analysis in Community Ecology written by Hugh G. Gauch and published by Cambridge University Press. This book was released on 1982-02-26 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: A full description of computer-based methods of analysis used to define and solve ecological problems. Multivariate techniques permit summary of complex sets of data and allow investigation of many problems which cannot be tackled experimentally because of practical restraints.

Download or read book Numerical Techniques in Social Anthropology written by James Clyde Mitchell and published by . This book was released on 1980 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Comprehensive Systems Biomedicine written by Pietro Lio and published by Frontiers E-books. This book was released on 2014-12-03 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Biomedicine is a field in perpetual development. By definition a translational discipline, it emphasizes the role of quantitative systems approaches in biomedicine and aims to offer solutions to many emerging problems characterized by levels and types of complexity and uncertainty unmet before. Many factors, including technological and societal ones, need to be considered. In particular, new technologies are providing researchers with the data deluge whose management and exploitation requires a reinvention of cross-disciplinary team efforts. The advent of “omics” and high-content imaging are examples of advances de facto establishing the necessity of systems approaches. Hypothesis-driven models and in silico validation tools in support to all the varieties of experimental applications call for a profound revision. The focus on phases like mining and assimilating the data has substantially increased so to allow for interpretable knowledge to be inferred. Notably, to be able to tackle the newly generated data dimensionality, heterogeneity and complexity, model-free and data-driven intensive applications are increasingly shaping the computational pipelines and architectures that quant specialists set aside of the high-throughput genomics, transcriptomics, proteomics platforms. As for the societal aspects, in many advanced societies health care needs now more than in the past to address the problem of managing ageing populations and their complex morbidity patterns. In parallel, there is a growing research interest on the impact that cross-disciplinary clinical, epidemiological and quantitative modelling studies can have in relation to outcomes potentially affecting the quality of life of many people. Complex systems, including those characterizing biomedicine, are assessed in both their functionality and stability, and also relatively to the capacity of generating information from diversity, variation, and complexity. Due to the combined interactions and effects, such systems embed prediction power available for instance in both target identification or marker discovery, or more generally for conducting inference about patients’ pathological states, i.e. normal versus disease, diagnostic or prognostic analysis, and preventive assessment (e.g., risk evaluation). The ultimate goal, personalized medicine, will be achieved based on the confluence of the system’s predictive power to patient-specific profiling.

Download or read book Analysis and Data Based Reconstruction of Complex Nonlinear Dynamical Systems written by M. Reza Rahimi Tabar and published by Springer. This book was released on 2019-07-04 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyse non-parametrically the data, assess underlying trends, uncover characteristics of the fluctuations (including diffusion and jump contributions), and construct a stochastic evolution equation? Here, the term "non-parametrically" exemplifies that all the functions and parameters of the constructed stochastic evolution equation can be determined directly from the measured data. The book provides an overview of methods that have been developed for the analysis of fluctuating time series and of spatially disordered structures. Thanks to its feasibility and simplicity, it has been successfully applied to fluctuating time series and spatially disordered structures of complex systems studied in scientific fields such as physics, astrophysics, meteorology, earth science, engineering, finance, medicine and the neurosciences, and has led to a number of important results. The book also includes the numerical and analytical approaches to the analyses of complex time series that are most common in the physical and natural sciences. Further, it is self-contained and readily accessible to students, scientists, and researchers who are familiar with traditional methods of mathematics, such as ordinary, and partial differential equations. The codes for analysing continuous time series are available in an R package developed by the research group Turbulence, Wind energy and Stochastic (TWiSt) at the Carl von Ossietzky University of Oldenburg under the supervision of Prof. Dr. Joachim Peinke. This package makes it possible to extract the (stochastic) evolution equation underlying a set of data or measurements.

Download or read book Modern Dimension Reduction written by Philip D. Waggoner and published by Cambridge University Press. This book was released on 2021-08-05 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data are not only ubiquitous in society, but are increasingly complex both in size and dimensionality. Dimension reduction offers researchers and scholars the ability to make such complex, high dimensional data spaces simpler and more manageable. This Element offers readers a suite of modern unsupervised dimension reduction techniques along with hundreds of lines of R code, to efficiently represent the original high dimensional data space in a simplified, lower dimensional subspace. Launching from the earliest dimension reduction technique principal components analysis and using real social science data, I introduce and walk readers through application of the following techniques: locally linear embedding, t-distributed stochastic neighbor embedding (t-SNE), uniform manifold approximation and projection, self-organizing maps, and deep autoencoders. The result is a well-stocked toolbox of unsupervised algorithms for tackling the complexities of high dimensional data so common in modern society. All code is publicly accessible on Github.

Download or read book Urban Risk Management in China written by Jianping Sun and published by Elsevier. This book was released on 2024-01-23 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the culmination of the author’s research on Urban Risk Management, based on research on practical applications on risk prevention and control practice in the industry. The main goal of this book is to make clear the concept of urban risk, analyse the objects to urban risk management, form a cognitive framework, arrange the practice on Chinese urban risk management, and finally to form a workable urban risk management system. Systematically discusses urban risk prevention and control in terms of its main forces, mechanisms, systems, and capabilities and presents a multidimensional pyramidal management framework between society, market, and government Improves the typology of academic courses related to urban risk management and clarifies different branches of theoretical concepts and practical applications Provides a solid foundation for an understanding of how urban risks evolve from accidents or incidents and identifies characteristics and patterns in risk sources Proposes three mechanisms: co-governance, refined prevention and control, and multilayered guarantees as part of the full-lifecycle perspective in risk prevention, control, and management

Download or read book Graph Neural Networks Foundations Frontiers and Applications written by Lingfei Wu and published by Springer Nature. This book was released on 2022-01-03 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. The new neural network architectures on graph-structured data (graph neural networks, GNNs in short) have performed remarkably on these tasks, demonstrated by applications in social networks, bioinformatics, and medical informatics. Despite these successes, GNNs still face many challenges ranging from the foundational methodologies to the theoretical understandings of the power of the graph representation learning. This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history, current developments, and future directions of GNNs. The second part presents and reviews fundamental methods and theories concerning GNNs while the third part describes various frontiers that are built on the GNNs. The book concludes with an overview of recent developments in a number of applications using GNNs. This book is suitable for a wide audience including undergraduate and graduate students, postdoctoral researchers, professors and lecturers, as well as industrial and government practitioners who are new to this area or who already have some basic background but want to learn more about advanced and promising techniques and applications.