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Author: Bedir Tekinerdogan Publisher: Academic Press ISBN: 0128166509 Category : Computers Languages : en Pages : 346
Book Description
Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics. This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains. The book could also be used in graduate courses on model development, data analytics and data management. - Identifies key problems and offers solution approaches and tools that have been developed or are necessary for model management and analytics - Explores basic theory and background, current research topics, related challenges and the research directions for model management and analytics - Provides a complete overview of model management and analytics frameworks, the different types of analytics (descriptive, diagnostics, predictive and prescriptive), the required modelling and method steps, and important future directions
Author: Bedir Tekinerdogan Publisher: Academic Press ISBN: 0128166509 Category : Computers Languages : en Pages : 346
Book Description
Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics. This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains. The book could also be used in graduate courses on model development, data analytics and data management. - Identifies key problems and offers solution approaches and tools that have been developed or are necessary for model management and analytics - Explores basic theory and background, current research topics, related challenges and the research directions for model management and analytics - Provides a complete overview of model management and analytics frameworks, the different types of analytics (descriptive, diagnostics, predictive and prescriptive), the required modelling and method steps, and important future directions
Author: Howard T. Odum Publisher: Elsevier ISBN: 0080544363 Category : Science Languages : en Pages : 479
Book Description
All manner of models are used to describe, simulate, extrapolate, and ultimately understand the function of dynamic systems. These sorts of models are usually based upon a mathematical foundation that can be difficult to manipulate especially for students. Modeling for All Scales uses object-oriented programming to erect and evaluate the efficacy of models of small, intermediate and large scale systems. Such models allow users to employ intuitively based symbols and a systems ecology approach. The authors have been leaders in the systems ecology community and have originated much of the scientific vocabulary of the field. After introducing modeling and its benefits, there is a series of chapters detailing the more particular elements of successful simulation. There follows another series of chapters, each devoted to models of different sorts of systems. Small scale models of growth, competition, and evolution give way, successively, to larger and larger scale models such as international trade and the global geobiosphere. Anyone interested in an easy to use approach to modeling complex systems authored by perhaps the most original systems ecologists of the century will want this book. To further enhance the users ability to apply the lessons of this book, there is included a CD-ROM disc which provides the fundamental tools for modeling at all scales.Key Features* The book makes it possible to teach modeling and simulation without much prior knowledge of mathematics* Reasons for modeling and simulation are discussed* The book makes modeling and simulation fun by keeping focused on simplified overview minimodels that have important principles to science and society* The steps in successive chapters are arranged so that readers can teach themselves modeling, simulation, and the programming necessary to simulate the systems they diagram* The CD-ROM has minimodel programs and versions of QuickBasic and EXTEND to run them
Author: Redouane Choukr-Allah Publisher: Springer Science & Business Media ISBN: 940074756X Category : Technology & Engineering Languages : en Pages : 362
Book Description
This book puts great emphasis on the importance of Integrated Water Resources Management IWRM as the way forward towards food, water, and energy security. It offers better ways and means of managing the limited water resources; using water more efficiently; adopting new policies in order to cope with climate change and drought; increase water supply through the use of non conventional water resources, especially waste water; inducing stakeholders participation and information exchange and raise public awareness to the value of water. It is an important book for all those involved in all aspects of water resources and contains valuable information for scientists, researchers, farmers, extension services and students.
Author: Jeffrey M. Klopatek Publisher: Springer Science & Business Media ISBN: 1461205298 Category : Science Languages : en Pages : 407
Book Description
Growth in the field of landscape ecology has included the development of methods and results that can be applied to an impressive range of environmental issues. This book addresses a broad spectrum of political, theoretical and applied aspects that often arise in the design and execution of landscape studies. The concepts of geographical scale and hierarchy arising within the confines of landscape ecology are examined, and a series of techniques are presented to address problems in spatial and temporal analysis. This book will provide the reader with a current perspective on this rapidly evolving science.
Author: Lin Zhang Publisher: Springer ISBN: 9811026637 Category : Computers Languages : en Pages : 739
Book Description
This four-volume set (CCIS 643, 644, 645, 646) constitutes the refereed proceedings of the 16th Asia Simulation Conference and the First Autumn Simulation Multi-Conference, AsiaSim / SCS AutumnSim 2016, held in Beijing, China, in October 2016. The 265 revised full papers presented were carefully reviewed and selected from 651 submissions. The papers in this first volume of the set are organized in topical sections on modeling and simulation theory and methodology; model engineering for system of systems; high performance computing and simulation; modeling and simulation for smart city.
Author: Gabriele Taentzer Publisher: Springer ISBN: 331921151X Category : Computers Languages : en Pages : 214
Book Description
This book constitutes the proceedings of the 11th European Conference on Modelling Foundations and Applications, ECMFA 2015, held as part of STAF 2015, in L`Aquila, Utaly, in July 2015. The 13 papers presented in this volume were carefully reviewed and selected from 54 submissions. The committee decided to accept 13 papers, 9 papers for the Foundations Track and 4 papers for the Applications Track. Papers on a wide range of MBE aspects were accepted, including topics such as aspect-oriented modeling, model management, model transformation, advanced meta-modeling, UML modeling tools, and domain-specific modeling w.r.t. energy consumption and cloud-based systems.
Author: Simon A. Levin Publisher: Princeton University Press ISBN: 1400833027 Category : Nature Languages : en Pages : 843
Book Description
The Princeton Guide to Ecology is a concise, authoritative one-volume reference to the field's major subjects and key concepts. Edited by eminent ecologist Simon Levin, with contributions from an international team of leading ecologists, the book contains more than ninety clear, accurate, and up-to-date articles on the most important topics within seven major areas: autecology, population ecology, communities and ecosystems, landscapes and the biosphere, conservation biology, ecosystem services, and biosphere management. Complete with more than 200 illustrations (including sixteen pages in color), a glossary of key terms, a chronology of milestones in the field, suggestions for further reading on each topic, and an index, this is an essential volume for undergraduate and graduate students, research ecologists, scientists in related fields, policymakers, and anyone else with a serious interest in ecology. Explains key topics in one concise and authoritative volume Features more than ninety articles written by an international team of leading ecologists Contains more than 200 illustrations, including sixteen pages in color Includes glossary, chronology, suggestions for further reading, and index Covers autecology, population ecology, communities and ecosystems, landscapes and the biosphere, conservation biology, ecosystem services, and biosphere management
Author: Bedir Tekinerdogan
Author: Bedir Tekinerdogan
Author: Edward McCrady Henderson
Author: C. B. Hutchinson
Author: Howard T. Odum
Author: Redouane Choukr-Allah
Author: Jeffrey M. Klopatek
Author: Lin Zhang
Author: James M. Kapetsky
Author: Gabriele Taentzer
Author: Simon A. Levin