Model Management and Analytics for Large Scale Systems

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  • Author : Bedir Tekinerdogan
  • Publisher : Academic Press
  • Pages : 344 pages
  • ISBN : 0128166509
  • Rating : /5 from reviews
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Download or Read online Model Management and Analytics for Large Scale Systems full in PDF, ePub and kindle. this book written by Bedir Tekinerdogan and published by Academic Press which was released on 14 September 2019 with total page 344 pages. We cannot guarantee that Model Management and Analytics for Large Scale Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Model Management and Analytics for Large Scale Systems

Model Management and Analytics for Large Scale Systems
  • Author : Bedir Tekinerdogan,Önder Babur,Loek Cleophas,Mark van den Brand,Mehmet Aksit
  • Publisher : Academic Press
  • Release : 14 September 2019
GET THIS BOOK Model Management and Analytics for Large Scale Systems

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

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  • Publisher : Springer Nature
  • Release : 06 July 2020
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  • Publisher : CRC Press
  • Release : 15 June 2021
GET THIS BOOK Knowledge Management in the Development of Data Intensive Systems

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new

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  • Release : 16 October 2020
GET THIS BOOK Systems Modelling and Management

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The Oxford Handbook of Talent Management offers academic researchers, advanced postgraduate students, and reflective practitioners a state-of-the-art overview of the key themes, topics, and debates in talent management. The Handbook is designed with a multi-disciplinary perspective in mind and draws upon perspectives from, inter alia, human resource management, psychology, and strategy to chart the topography of the area of talent management and to establish the base of knowledge in the field. Furthermore, each chapter concludes by identifying key gaps in

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GET THIS BOOK Computer Aided Systems Theory EUROCAST 2019

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  • Publisher : John Wiley & Sons
  • Release : 18 March 2019
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A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and

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GET THIS BOOK Mathematical Underpinnings of Analytics

The book focuses on the mathematical underpinnings of methods in analytics, underlying the relevance of modern mathematical methods to analytics challenges. The book contains insights from the experience of the author working within commercial sectors and leading analytics teams. The breadth of the material covered contains elements of mathematical modelling, applied statistics, network theory, matrix functions and linear algebra, computational learning methods,probability theory, and stochastic processes; so it cannot be considered as a subfield of any one of these

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GET THIS BOOK Risk Modeling Assessment and Management

Examines timely multidisciplinary applications, problems, and case histories in risk modeling, assessment, and management Risk Modeling, Assessment, and Management, Third Edition describes the state of the art of risk analysis, a rapidly growing field with important applications in engineering, science, manufacturing, business, homeland security, management, and public policy. Unlike any other text on the subject, this definitive work applies the art and science of risk analysis to current and emergent engineering and socioeconomic problems. It clearly demonstrates how to quantify

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GET THIS BOOK Managing and Processing Big Data in Cloud Computing

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GET THIS BOOK Modern Approaches in Machine Learning and Cognitive Science A Walkthrough

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