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Model Management And Analytics For Large Scale Systems, Tekinerdogan, Bedir


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Цена: 19370.00р.
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Автор: Tekinerdogan, Bedir
Название:  Model Management And Analytics For Large Scale Systems
ISBN: 9780128166499
Издательство: Elsevier Science
Классификация:




ISBN-10: 0128166495
Обложка/Формат: Paperback
Страницы: 344
Вес: 0.70 кг.
Дата издания: 17.09.2019
Язык: English
Размер: 235 x 191 x 18
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

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.




Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Автор: Martin Kleppmann
Название: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
ISBN: 1449373321 ISBN-13(EAN): 9781449373320
Издательство: Wiley
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Цена: 7602.00 р.
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Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.

Business Analytics

Автор: Vidgen Richard
Название: Business Analytics
ISBN: 1352007258 ISBN-13(EAN): 9781352007251
Издательство: Springer
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Цена: 7406.00 р.
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Описание: This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Model-Based Systems Engineering with OPM and SysML

Автор: Dori
Название: Model-Based Systems Engineering with OPM and SysML
ISBN: 1493932942 ISBN-13(EAN): 9781493932948
Издательство: Springer
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Цена: 11179.00 р.
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Описание: Model-Based Systems Engineering (MBSE), which tackles architecting and design of complex systems through the use of formal models, is emerging as the most critical component of systems engineering. This textbook specifies the two leading conceptual modeling languages, OPM—the new ISO 19450, composed primarily by the author of this book, and OMG SysML. It provides essential insights into a domain-independent, discipline-crossing methodology of developing or researching complex systems of any conceivable kind and size. Combining theory with a host of industrial, biological, and daily life examples, the book explains principles and provides guidelines for architecting complex, multidisciplinary systems, making it an indispensable resource for systems architects and designers, engineers of any discipline, executives at all levels, project managers, IT professional, systems scientists, and engineering students.

Basics lean implementation model

Автор: Protzman Iii, Charles W. (business Improvement Group, Llc., Towson, Maryland, Usa) Protzman, Daniel (business Improvement Group, Llc, Perry Hall, Mary
Название: Basics lean implementation model
ISBN: 0815387946 ISBN-13(EAN): 9780815387947
Издательство: Taylor&Francis
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Цена: 7654.00 р.
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Описание: This book teaches an integrated, structured, problem-solving approach identified by the acronym BASICS (Baseline, Analyze, Suggest Solutions, Implement, Check and Sustain). The BASICS approach produces "real" bottom line savings with 20% to 50% or more increases in productivity when compared to pure batching environments.

Online Optimization of Large Scale Systems

Автор: Martin Gr?tschel; Sven O. Krumke; Joerg Rambau
Название: Online Optimization of Large Scale Systems
ISBN: 3642076335 ISBN-13(EAN): 9783642076336
Издательство: Springer
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Цена: 23058.00 р.
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Описание: Opti- mization is particularly strong if precise models of real phenomena and data of high quality are at hand - often yielding reliable automated control and decision proce- dures. , problems of the following type: - An elevator cannot know all transportation requests in advance.

Large-Scale Integrated Energy Systems

Автор: Qing-Hua Wu; Jiehui Zheng; Zhaoxia Jing; Xiaoxin Z
Название: Large-Scale Integrated Energy Systems
ISBN: 9811369429 ISBN-13(EAN): 9789811369421
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book discusses key issues in the planning and operation of large-scale integrated energy systems (LSIES). It establishes individual-based models for LSIES and develops multi-objective optimization algorithms and multi-attribute decision making support systems, which are applied to the planning and optimal operation of LSIES. It is a valuable reference work for researchers, students and engineers who are interested in energy systems, operation research and decision theory.

Decision Support Systems V – Big Data Analytics for Decision Making

Автор: Boris Deliba?i?; Jorge E. Hern?ndez; Jason Papatha
Название: Decision Support Systems V – Big Data Analytics for Decision Making
ISBN: 3319185322 ISBN-13(EAN): 9783319185323
Издательство: Springer
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Цена: 5590.00 р.
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Описание: 'Big Data' Decision Making Use Cases.- The Roles of Big Data in the Decision-Support Process: An Empirical Investigation.- Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda.- Making Sense of Governmental Activities Over Social Media: A Data-Driven Approach.- Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts.- The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case.- A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem.- Decision Support Model for Participatory Management of Water Resource.- Modeling Interactions Among Criteria in MCDM Methods: A Review.

Big Data Analytics in HIV/AIDS Research

Автор: Ali Al Mazari
Название: Big Data Analytics in HIV/AIDS Research
ISBN: 152253203X ISBN-13(EAN): 9781522532033
Издательство: Mare Nostrum (Eurospan)
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Цена: 26961.00 р.
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Описание: Provides emerging research on the development and implementation of computational techniques in big data analysis for biological and medical practices. While highlighting topics such as deep learning, management software, and molecular modeling, this publication explores the various applications of data analysis in clinical decision making.

Managerial Perspectives on Intelligent Big Data Analytics

Автор: Zhaohao Sun
Название: Managerial Perspectives on Intelligent Big Data Analytics
ISBN: 1522572775 ISBN-13(EAN): 9781522572770
Издательство: Mare Nostrum (Eurospan)
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Цена: 32987.00 р.
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Описание: Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

Big Data and Visual Analytics

Автор: Sang C. Suh; Thomas Anthony
Название: Big Data and Visual Analytics
ISBN: 3319876708 ISBN-13(EAN): 9783319876702
Издательство: Springer
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Цена: 19564.00 р.
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Описание:

Information visualization.- Data analytics.- Visual analytics.- Intelligent information systems.- Business analytics, - Virtual data machine.- Big data architecture.- Security of big data.- Big data applications.- Tensor-based computation and modeling.- High performance computing cluster.- Big data technologies.

Smart Service Systems, Operations Management, and Analytics

Автор: Hui Yang; Robin Qiu; Weiwei Chen
Название: Smart Service Systems, Operations Management, and Analytics
ISBN: 3030309665 ISBN-13(EAN): 9783030309664
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users` both utilitarian and socio-psychological needs.

Applied Data Analytics - Principles and Applications

Автор: Johnson I. Agbinya
Название: Applied Data Analytics - Principles and Applications
ISBN: 8770220964 ISBN-13(EAN): 9788770220965
Издательство: Taylor&Francis
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Цена: 14851.00 р.
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Описание: The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications, cyber security data, crime data, telecommunications and stock market data, health records and business analytics data are but a few areas of interest. Applications and platforms including R, RapidMiner and Weka provide the basis for analysis, often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes, or to spot errors.

Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualisation systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications.

The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate, postgraduate and big data analytics enthusiasts.

This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence, environmental sensor data modelling and analysis, health informatics, business data analytics, data from Internet of Things and deep learning applications.


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