Model and Data Engineering, Ladjel Bellatreche; Yannis Manolopoulos
Автор: Yassine Ouhammou; Mirjana Ivanovic; Alberto Abell? Название: Model and Data Engineering ISBN: 3319668536 ISBN-13(EAN): 9783319668536 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 7th International Conference on Model and Data Engineering, MEDI 2017, held in Barcelona, Spain, in October 2017. The 20 full papers and 7 short papers presented together with 2 invited talks were carefully reviewed and selected from 69 submissions.
Автор: Bellatreche Название: Model and Data Engineering ISBN: 331945546X ISBN-13(EAN): 9783319455464 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 6th International Conference on Model and Data Engineering, MEDI 2016, held in Almeria, Spain, in September 2016. The 17 full papers and 10 short papers presented together with 2 invited talks were carefully reviewed and selected from 62 submissions.
Автор: Dori Название: Model-Based Systems Engineering with OPM and SysML ISBN: 1493932942 ISBN-13(EAN): 9781493932948 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Название: Sdl 2015: model-driven engineering for smart cities ISBN: 3319249118 ISBN-13(EAN): 9783319249117 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 17th International System Design Language Forum, SDL 2015, held in Berlin, Germany, in October 2015. The 15 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 26 submissions. specification and description language; domain specific languages;
Автор: Dragan Ga?evic; Bran V. Selic; Jean B?zivin; Draga Название: Model Driven Engineering and Ontology Development ISBN: 3642101348 ISBN-13(EAN): 9783642101342 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details how to use model-driven engineering for ontology development on the Semantic Web. It explains in detail how to use standards like MDA and UML for ontology development and offers the first detailed description of OMG`s upcoming ODM standard.
Автор: Maciej Pietrzyk Название: Computational Materials Engineering ISBN: 0124167071 ISBN-13(EAN): 9780124167070 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called "fast" models to more advanced multiscale models, also evaluating possible methods for improving computational accuracy and efficiency.
Beginning with a discussion of conventional fast models like internal variable models for flow stress and microstructure evolution, the book moves on to advanced multiscale models, such as the CAFE method, which give insights into the phenomena occurring in materials in lower dimensional scales.
The book then delves into the various methods that have been developed to deal with problems, including long computing times, lack of proof of the uniqueness of the solution, difficulties with convergence of numerical procedures, local minima in the objective function, and ill-posed problems. It then concludes with suggestions on how to improve accuracy and efficiency in computational materials modeling, and a best practices guide for selecting the best model for a particular application.
Presents the numerical approaches for high-accuracy calculations
Provides researchers with essential information on the methods capable of exact representation of microstructure morphology
Helpful to those working on model classification, computing costs, heterogeneous hardware, modeling efficiency, numerical algorithms, metamodeling, sensitivity analysis, inverse method, clusters, heterogeneous architectures, grid environments, finite element, flow stress, internal variable method, microstructure evolution, and more
Discusses several techniques to overcome modeling and simulation limitations, including distributed computing methods, (hyper) reduced-order-modeling techniques, regularization, statistical representation of material microstructure, and the Gaussian process
Covers both software and hardware capabilities in the area of improved computer efficiency and reduction of computing time
Автор: Emilio Corchado; Hujun Yin Название: Intelligent Data Engineering and Automated Learning - IDEAL 2009 ISBN: 3642043933 ISBN-13(EAN): 9783642043932 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Ford Lumban Gaol Название: Recent Progress in Data Engineering and Internet Technology ISBN: 364244153X ISBN-13(EAN): 9783642441530 Издательство: Springer Рейтинг: Цена: 38992.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides state-of-the-art accounts in computational algorithms/tools, database management and database technologies, intelligent information systems, data engineering applications, internet security, internet data management, web search, data grids, cloud computing, web-based application, and other related topics.
Автор: Bhatnagar Название: Data Mining And Analysis In The Engineering Field ISBN: 1466660864 ISBN-13(EAN): 9781466660861 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32848.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization.Data Mining and Analysis in the Engineering Field explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering. With a focus on modern techniques as well as past experiences, this vital reference work will be of greatest use to engineers, researchers, and practitioners in scientific-, engineering-, and business-related fields.
Автор: Tim Menzies Название: Perspectives on Data Science for Software Engineering ISBN: 0128042060 ISBN-13(EAN): 9780128042069 Издательство: Elsevier Science Рейтинг: Цена: 8588.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "
Perspectives on Data Science for Software Engineering" presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions.
While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains.
Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analyticsProvides contributed chapters that share discrete ideas and technique from the trenchesCovers top areas of concern, including mining security and social data, data visualization, and cloud-based dataPresented in digestible chapters designed to be applicable across many domains"
Автор: Tran Khanh Dang; Roland Wagner; Josef K?ng; Nam Th Название: Future Data and Security Engineering ISBN: 3319480561 ISBN-13(EAN): 9783319480565 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Third International Conference on Future Data and Security Engineering, FDSE 2016, held in Can Tho City, Vietnam, in November 2016. They have been organized in the following topical sections: Big Data Analytics and Cloud Data Management; Data Protection and Data Hiding;
Описание: This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.
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