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Online Public Access Catalogue

题名/责任者:

Model management and analytics for large scale systems / Bedir Tekinerdogan, Onder Babur, Loek Cleophas, Mark van den Brand, Mehmet Aksit.

出版发行项:

San Diego : Academic Press is an Imprint of Elsevier, 2019.

ISBN:

9780128166499

载体形态项:

xxi, 322 pages : illustrations ; 24 cm

附加个人名称:

Tekinerdogan, Bedir, editor.

附加个人名称:

Babur, Onder, editor.

附加个人名称:

Cleophas, Loek, editor.

附加个人名称:

van den Brand, Mark, editor.

附加个人名称:

Aksit, Mehmet, editor.

论题主题:

System analysis.

中图法分类号:

TP302.1

书目附注:

Includes bibliographical references and index.

摘要附注:

"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"--

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