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Matlab In Quality Assurance Sciences

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Matlab in Quality Assurance Sciences

Matlab   in Quality Assurance Sciences Book
Author : Leonid Burstein
Publisher : Elsevier
Release : 2015-02-12
ISBN : 0857094882
Language : En, Es, Fr & De

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Book Description :

MATLAB® in Quality Assurance Sciences fills a gap in the highly topical field of quality assurance (QA). It is a compact guide for students, engineers, and scientists in this field. It concentrates on MATLAB® fundamentals with examples of application to a wide range of current problems from general, nano and bio-technology, and statistical control, to medicine and industrial management. Examples cover both the school and advanced level; comprising calculations of total quality management, six sigma, time series, process improvement, metrology, quality control, human factors in quality assurance, measurement and testing techniques, quality project and function management, and customer satisfaction. This book covers key topics, including: the basics of software with examples; graphics and representations; numerical computation, scripts and functions for QA calculations; ODE and PDEPE solvers applied to QA problems; curve fitting and time series tool interfaces in calculations of quality; and statistics calculations applied to quality testing. Includes MATLAB® fundamentals, matrices, arrays, general graphics and specialized plots in quality assurance problems, script files, ordinary and partial differential equations Gives calculation of six sigma, total quality management, time series forecasting, reliability, process improvement, metrology, quality control and assurance, measurement and testing techniques Provides tools for graphical presentation, basic and special statistics and testing, ordinary and partial differential solvers, and fitting tools

A MATLAB Primer for Technical Programming for Materials Science and Engineering

A MATLAB   Primer for Technical Programming for Materials Science and Engineering Book
Author : Leonid Burstein
Publisher : Woodhead Publishing
Release : 2020-02-06
ISBN : 0128191163
Language : En, Es, Fr & De

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Book Description :

A MATLAB® Primer for Technical Programming for Materials Science and Engineering draws on examples from the field, providing the latest information on this programming tool that is targeted towards materials science. The book enables non-programmers to master MATLAB® in order to solve problems in materials science, assuming only a modest mathematical background. In addition, the book introduces programming and technical concepts in a logical manner to help students use MATLAB® for subsequent projects. This title offers materials scientists who are non-programming specialists with a coherent and focused introduction to MATLAB®. Provides the necessary background, alongside examples drawn from the field, to allow materials scientists to effectively master MATLAB® Guides the reader through programming and technical concepts in a logical and coherent manner Promotes a thorough working familiarity with MATLAB® for materials scientists Gives the information needed to write efficient and compact programs to solve problems in materials science, tribology, mechanics of materials and other material-related disciplines

Handbook of Research on Advancements in Manufacturing Materials and Mechanical Engineering

Handbook of Research on Advancements in Manufacturing  Materials  and Mechanical Engineering Book
Author : Burstein, Leonid
Publisher : IGI Global
Release : 2020-09-18
ISBN : 1799849406
Language : En, Es, Fr & De

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Book Description :

Production, new materials development, and mechanics are the central subjects of modern industry and advanced science. With a very broad reach across several different disciplines, selecting the most forward-thinking research to review can be a hefty task, especially for study in niche applications that receive little coverage. For those subjects, collecting the research available is of utmost importance. The Handbook of Research on Advancements in Manufacturing, Materials, and Mechanical Engineering is an essential reference source that examines emerging obstacles in these fields of engineering and the methods and tools used to find solutions. Featuring coverage of a broad range of topics including fabricating procedures, automated control, and material selection, this book is ideally designed for academics; tribology and materials researchers; mechanical, physics, and materials engineers; professionals in related industries; scientists; and students.

Computer Aided Vaccine Design

Computer Aided Vaccine Design Book
Author : Joo Chuan Tong,Shoba Ranganathan
Publisher : Elsevier
Release : 2013-07-31
ISBN : 1908818417
Language : En, Es, Fr & De

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Book Description :

Computational pre-screening of antigens is now routinely applied to the discovery of vaccine candidates. Computer-aided vaccine design is a comprehensive introduction to this exciting field of study. The book is intended to be a textbook for researchers and for courses in bioinformatics, as well as a laboratory reference guide. It is written mainly for biologists who want to understand the current methods of computer-aided vaccine design. The contents are designed to help biologists appreciate the underlying concepts and algorithms used, as well as limitations of the methods and strategies for their use. Chapters include: MHC and T cell responses; Immunoglobulins and B cell responses; Scientific publications and databases; Database design; Computational T cell vaccine design; Computational B cell vaccine design; infectious disease informatics; Vaccine safety and quality assessments; and Vaccine adjuvant informatics. Essential reading for any biologist who wants to understand methods of computer-aided vaccine design Description of available data sources and publicly available software, with detailed analysis of strengths and weaknesses Theoretical concepts and practical examples of database design and development for a virtual screening campaign

The Funding of Biopharmaceutical Research and Development

The Funding of Biopharmaceutical Research and Development Book
Author : David R Williams
Publisher : Elsevier
Release : 2013-10-31
ISBN : 1908818387
Language : En, Es, Fr & De

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Book Description :

The funding of biopharmaceutical research and development provides a comprehensive critical review of the funding of research and development (R&D) in the human biopharmaceutical market sector. It addresses both private and public funding sources available in the US and internationally. The biopharmaceutical market is among the most research-intensive market sectors globally. Clinical researchers face a multitude of public and private funding options with respect to bringing their idea or innovation to market. These funding options are continually changing and complex, and are expected to decrease in the near future. A lack of understanding of the scale, scope, and inner workings of the funding aspects of R&D can, at times, act as a barrier for all involved, and can slow down or even eliminate the R&D process. The book lessens these barriers by describing the theoretical underpinnings, present practice, and trends in R&D funding in this market sector, both in the US and internationally. This includes a review and discussion of public-private partnership activity and their inner-workings, noting the complementary relationship between public and private funding. The book also contains an overview of the inner-workings of strategic alliance activity, including the advantages and disadvantages for each party. It goes on to provide an outline of venture capital activity, detailing the methods by which venture capital firms raise capital and are organized, a description of the venture capital-entrepreneur arrangement, and the effects of this arrangement. The book also presents an overview of the IPO process and the various fates of firms going public. Presents a comprehensive view of the funding issues of R&D in this market sector, adopting a theory-to-practice approach A comprehensive and analytical review of the biopharmaceutical R&D literature and practice An overview of the various and competing/complementary theories of the firm and valuation methods as they apply to biopharmaceutical R&D

International Conference on Computer Science and Software Engineering CSSE 2014

International Conference on Computer Science and Software Engineering  CSSE 2014  Book
Author : Anonim
Publisher : DEStech Publications, Inc
Release : 2014-11-03
ISBN : 1605951994
Language : En, Es, Fr & De

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Book Description :

CSSE2014 proceeding tends to collect the most up-to-date, comprehensive, and worldwide state-of-art knowledge on Computer Science and Software Engineering. All the accepted papers have been submitted to strict peer-review by 2–4 expert referees, and selected based on originality, significance and clarity for the purpose of the conference. The conference program is extremely rich, profound and featuring high-impact presentations of selected papers and additional late-breaking contributions. We sincerely hope that the conference would not only show the participants a broad overview of the latest research results on related fields, but also provide them with a significant platform for academic connection and exchange. The Technical Program Committee members have been working very hard to meet the deadline of review. The final conference program consists of 126 papers divided into 4 sessions.

Assuring Data Quality at U S Geological Survey Laboratories

Assuring Data Quality at U S  Geological Survey Laboratories Book
Author : National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Board on Earth Sciences and Resources,Committee to Review the U.S. Geological Survey's Laboratories
Publisher : National Academies Press
Release : 2020-01-23
ISBN : 0309495628
Language : En, Es, Fr & De

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Book Description :

The U.S. Geological Survey (USGS) mission is to provide reliable and impartial scientific information to understand Earth, minimize loss of life and property from natural disasters, and manage water, biological, energy, and mineral resources. Data collection, analysis, interpretation, and dissemination are central to everything the USGS does. Among other activities, the USGS operates some 250 laboratories across the country to analyze physical and biological samples, including water, sediment, rock, plants, invertebrates, fish, and wildlife. The data generated in the laboratories help answer pressing scientific and societal questions or support regulation, resource management, or commercial applications. At the request of the USGS, this study reviews a representative sample of USGS laboratories to examine quality management systems and other approaches for assuring the quality of laboratory results and recommends best practices and procedures for USGS laboratories.

Clinical Radiotherapy Physics with MATLAB

Clinical Radiotherapy Physics with MATLAB Book
Author : Pavel Dvorak
Publisher : CRC Press
Release : 2018-06-12
ISBN : 0429019297
Language : En, Es, Fr & De

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Book Description :

The first MATLAB® programming book written specifically for clinical radiotherapy medical physicists and medical physics trainees, this much-needed book teaches users how to create their own clinical applications using MATLAB®, as a complement to commercial software particularly when the latter does not cover specific local clinical needs. Chapters explore key radiotherapy areas such as handling volumes, 3D dose calculation, comparing dose distributions, reconstructing treatment plans and their summations, and automated tests for machine quality assurance. Readers will learn to independently analyse and process images, doses, structures, and other radiotherapy clinical data to deal with standard and non-standard situations in radiotherapy. This book will also significantly improve understanding of areas such as data nature, information content, DICOM RT standard, and data flow. It will be an invaluable reference for students of medical physics, in addition to clinical radiotherapy physicists and researchers working in radiotherapy. Features: Includes real clinical medical physics applications derived from actual clinical problems Provides commented MATLAB® scripts working with sample data and/or own data matching input requirements Promotes critical thinking and practical problem solving skills

Verification and Validation in Scientific Computing

Verification and Validation in Scientific Computing Book
Author : William L. Oberkampf,Christopher J. Roy
Publisher : Cambridge University Press
Release : 2010-10-14
ISBN : 1139491768
Language : En, Es, Fr & De

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Book Description :

Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.

Parallel Processing for Scientific Computing

Parallel Processing for Scientific Computing Book
Author : Michael A. Heroux,Padma Raghavan,Horst D. Simon
Publisher : SIAM
Release : 2006-01-01
ISBN : 0898716195
Language : En, Es, Fr & De

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Book Description :

Scientific computing has often been called the third approach to scientific discovery, emerging as a peer to experimentation and theory. Historically, the synergy between experimentation and theory has been well understood: experiments give insight into possible theories, theories inspire experiments, experiments reinforce or invalidate theories, and so on. As scientific computing has evolved to produce results that meet or exceed the quality of experimental and theoretical results, it has become indispensable.Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering. This edited volume serves as an up-to-date reference for researchers and application developers on the state of the art in scientific computing. It also serves as an excellent overview and introduction, especially for graduate and senior-level undergraduate students interested in computational modeling and simulation and related computer science and applied mathematics aspects.Contents List of Figures; List of Tables; Preface; Chapter 1: Frontiers of Scientific Computing: An Overview; Part I: Performance Modeling, Analysis and Optimization. Chapter 2: Performance Analysis: From Art to Science; Chapter 3: Approaches to Architecture-Aware Parallel Scientific Computation; Chapter 4: Achieving High Performance on the BlueGene/L Supercomputer; Chapter 5: Performance Evaluation and Modeling of Ultra-Scale Systems; Part II: Parallel Algorithms and Enabling Technologies. Chapter 6: Partitioning and Load Balancing; Chapter 7: Combinatorial Parallel and Scientific Computing; Chapter 8: Parallel Adaptive Mesh Refinement; Chapter 9: Parallel Sparse Solvers, Preconditioners, and Their Applications; Chapter 10: A Survey of Parallelization Techniques for Multigrid Solvers; Chapter 11: Fault Tolerance in Large-Scale Scientific Computing; Part III: Tools and Frameworks for Parallel Applications. Chapter 12: Parallel Tools and Environments: A Survey; Chapter 13: Parallel Linear Algebra Software; Chapter 14: High-Performance Component Software Systems; Chapter 15: Integrating Component-Based Scientific Computing Software; Part IV: Applications of Parallel Computing. Chapter 16: Parallel Algorithms for PDE-Constrained Optimization; Chapter 17: Massively Parallel Mixed-Integer Programming; Chapter 18: Parallel Methods and Software for Multicomponent Simulations; Chapter 19: Parallel Computational Biology; Chapter 20: Opportunities and Challenges for Parallel Computing in Science and Engineering; Index.

Scientific and Statistical Database Management

Scientific and Statistical Database Management Book
Author : Anastasia Ailamaki,Shawn Bowers
Publisher : Springer
Release : 2012-06-15
ISBN : 3642312357
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 24th International Conference on Scientific and Statistical Database Management, SSDBM 2012, held in Chania, Grete, Greece, in June 2012. The 25 long and 10 short papers presented together with 2 keynotes, 1 panel, and 13 demonstration and poster papers were carefully reviewed and selected from numerous submissions. The topics covered are uncertain and probabilistic data, parallel and distributed data management, graph processing, mining multidimensional data, provenance and workflows, processing scientific queries, and support for demanding applications.

Software Quality Assurance

Software Quality Assurance Book
Author : Ivan Mistrik,Richard M Soley,Nour Ali,John Grundy,Bedir Tekinerdogan
Publisher : Morgan Kaufmann
Release : 2015-10-12
ISBN : 0128025417
Language : En, Es, Fr & De

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Book Description :

Software Quality Assurance in Large Scale and Complex Software-intensive Systems presents novel and high-quality research related approaches that relate the quality of software architecture to system requirements, system architecture and enterprise-architecture, or software testing. Modern software has become complex and adaptable due to the emergence of globalization and new software technologies, devices and networks. These changes challenge both traditional software quality assurance techniques and software engineers to ensure software quality when building today (and tomorrow’s) adaptive, context-sensitive, and highly diverse applications. This edited volume presents state of the art techniques, methodologies, tools, best practices and guidelines for software quality assurance and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited, to: quality attributes of system/software architectures; aligning enterprise, system, and software architecture from the point of view of total quality; design decisions and their influence on the quality of system/software architecture; methods and processes for evaluating architecture quality; quality assessment of legacy systems and third party applications; lessons learned and empirical validation of theories and frameworks on architectural quality; empirical validation and testing for assessing architecture quality. Focused on quality assurance at all levels of software design and development Covers domain-specific software quality assurance issues e.g. for cloud, mobile, security, context-sensitive, mash-up and autonomic systems Explains likely trade-offs from design decisions in the context of complex software system engineering and quality assurance Includes practical case studies of software quality assurance for complex, adaptive and context-critical systems

Mechatronics 98

Mechatronics  98 Book
Author : Högskolan i Skövde. Centre for Intelligent Automation
Publisher : Elsevier
Release : 1998
ISBN : 0080433391
Language : En, Es, Fr & De

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Book Description :

Mechatronics, a synergistic combination of mechanical, electronic and computing engineering technologies, is a truly multidisciplinary approach to engineering. New products based on mechatronic principles are demonstrating reduced mechanical complexity, increased performance and often previously impossible capabilities. This book contains the papers presented at the UK Mechatronics Forum's 6th International Conference, held in Sk�vde, Sweden, in September 1998. Many of these high-quality papers illustrate the tremendous influence of mechatronics on such areas as manufacturing machinery, automotive engineering, textiles manufacture, robotics, and real-time control and vision systems. There are also papers describing developments in sensors, actuators, control and data processing techniques, such as fuzzy logic and neural networks, all of which have practical application to mechatronic systems.

The Art and Science of Analyzing Software Data

The Art and Science of Analyzing Software Data Book
Author : Christian Bird,Tim Menzies,Thomas Zimmermann
Publisher : Elsevier
Release : 2015-09-02
ISBN : 0124115438
Language : En, Es, Fr & De

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Book Description :

The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. Presents best practices, hints, and tips to analyze data and apply tools in data science projects Presents research methods and case studies that have emerged over the past few years to further understanding of software data Shares stories from the trenches of successful data science initiatives in industry

Software Engineering for Science

Software Engineering for Science Book
Author : Jeffrey C. Carver,Neil P. Chue Hong,George K. Thiruvathukal
Publisher : CRC Press
Release : 2016-11-03
ISBN : 1498743862
Language : En, Es, Fr & De

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Book Description :

Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts. The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains. About the Editors Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science (http://www.SE4Science.org/workshops). Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object. George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.

Electronic Noses and Tongues in Food Science

Electronic Noses and Tongues in Food Science Book
Author : Maria Luz Rodriguez Mendez
Publisher : Academic Press
Release : 2016-02-19
ISBN : 0128004029
Language : En, Es, Fr & De

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Book Description :

Electronic Noses and Tongues in Food Science describes the electronic products of advanced chemical and physical sciences combined with intuitive integration of microprocessors, advanced bioinformatics and statistics. These include, for example, voltammetric, bio-electronic, piezoelectric platforms made from a variety of components including, nanoparticles, enzyme biosensors, heavy metals, graphite-epoxy composites, metal oxide semiconductors, microelectrodes, microfluidic channels, pre-manufactured gas sensors, redox enzymes and others and is an ideal resource for understanding and utilizing their power in Food Science settings. Devices used to analyse one particular food item can theoretically be adapted for other food items or components. This does not just mean the re-deploying the physical platforms but also the mode of bioinformatic and statistical analysis. This includes artificial neural networks (ANN), linear discriminant analysis (LDA), partial least squares (PLS), principal component analysis (PCA) etc. In other words, there is cross transference of chemistry, physics, concepts, techniques, findings and approaches from one food to another. Electronic noses and tongues are two of these devices but are advancing in application and importance. This book provides examples of the use of electronic noses and tongues to characterise components that contribute to sensory or compositional profiles, from ripening to harvesting and from storage of raw materials to packaging and consumption. These devises are suitable for high-throughput analysis, quality control or to determine the nature and extent of spoilage and adulteration, and have also been used to ascertain the geographical origins of food and mixtures. Presents latest developments in the application of electronic nose and tongue technologies to a variety of food-specific needs Includes both electronic nose, electronic tongue and combined technology insights Each chapter has sections on: The physical and chemical platforms; Analysis of specific foods; Applications to other foods and areas of food science

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports Book
Author : Anonim
Publisher : Unknown
Release : 1995
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Medical Imaging and Informatics

Medical Imaging and Informatics Book
Author : Xiaohong Gao,Henning Müller,Martin Loomes,Richard Comley,Shuqian Luo
Publisher : Springer Science & Business Media
Release : 2008-07-07
ISBN : 3540794891
Language : En, Es, Fr & De

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Book Description :

This book constitutes the thoroughly refeered post-conference proceedings of the Second Interational Conference on Medical Imaging and Informatics, MIMI 2007, held in Beijing, China, in August 2007. The 40 revised full papers presented together with 4 keynote talks were carefully reviewed and selected from 110 submissions. The papers are organized in topical sections on medical image segmentation and registration, medical informatics, PET, fMRI, ultrasound and thermal imaging, 3D reconstruction and visualization. The volume is rounded off by 4 papers from 2 workshops on legal, ethical and social issues in medical imaging and informatics, as well as on computer-aided diagnosis (CAD).

Model Management and Analytics for Large Scale Systems

Model Management and Analytics for Large Scale Systems Book
Author : Bedir Tekinerdogan,Önder Babur,Loek Cleophas,Mark van den Brand,Mehmet Aksit
Publisher : Academic Press
Release : 2019-09-14
ISBN : 0128166509
Language : En, Es, Fr & De

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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