Theory and Application of Reuse, Integration, and Data Science, Bouabana-Tebibel

Автор: Dash Sujata, Tripathy B. K., Rahman Atta Ur
Название: Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
ISBN: 1522528571 ISBN-13(EAN): 9781522528579
Издательство: Mare Nostrum (Eurospan)
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Цена: 257790.00 T
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Описание: The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems.The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.

Автор: Thouraya Bouabana-Tebibel; Stuart H Rubin
Название: Theoretical Information Reuse and Integration
ISBN: 3319313096 ISBN-13(EAN): 9783319313092
Издательство: Springer
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Цена: 121110.00 T
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Описание: It may also be that the new knowledgeis random in that no such sequence of transforms, which produces it exists, oris at least known.Thenine chapters comprising this volume incorporate symmetry, reuse, andintegration as overt operational procedures or as operations built into theformal representations of data and operators employed.

Автор: Thouraya Bouabana-Tebibel; Stuart H. Rubin
Название: Formalisms for Reuse and Systems Integration
ISBN: 3319165763 ISBN-13(EAN): 9783319165769
Издательство: Springer
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Цена: 139310.00 T
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Описание: and, formal verification techniques provide support for insuring the validity of reuse and integration mechanisms. This edited book includes 12 high quality research papers written by experts in formal aspects of reuse and integration to cover the most recent advances in the field.

Автор: Christopher W. Forstall, Walter J. Scheirer
Название: Quantitative Intertextuality: Analyzing the Markers of Information Reuse
ISBN: 3030234134 ISBN-13(EAN): 9783030234133
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book introduces quantitative intertextuality, a new approach to the algorithmic study of information reuse in text, sound and images. Employing a variety of tools from machine learning, natural language processing, and computer vision, readers will learn to trace patterns of reuse across diverse sources for scholarly work and practical applications. The respective chapters share highly novel methodological insights in order to guide the reader through the basics of intertextuality.

In Part 1, "Theory", the theoretical aspects of intertextuality are introduced, leading to a discussion of how they can be embodied by quantitative methods. In Part 2, "Practice", specific quantitative methods are described to establish a set of automated procedures for the practice of quantitative intertextuality. Each chapter in Part 2 begins with a general introduction to a major concept (e.g., lexical matching, sound matching, semantic matching), followed by a case study (e.g., detecting allusions to a popular television show in tweets, quantifying sound reuse in Romantic poetry, identifying influences in fan faction by thematic matching), and finally the development of an algorithm that can be used to reveal parallels in the relevant contexts.

Because this book is intended as a "gentle" introduction, the emphasis is often on simple yet effective algorithms for a given matching task. A set of exercises is included at the end of each chapter, giving readers the chance to explore more cutting-edge solutions and novel aspects to the material at hand. Additionally, the book's companion website includes software (R and C++ library code) and all of the source data for the examples in the book, as well as supplemental content (slides, high-resolution images, additional results) that may prove helpful for exploring the different facets of quantitative intertextuality that are presented in each chapter.

Given its interdisciplinary nature, the book will appeal to a broad audience. From practitioners specializing in forensics to students of cultural studies, readers with diverse backgrounds (e.g., in the social sciences, natural language processing, or computer vision) will find valuable insights.

Автор: Xin Peng; Apostolos Ampatzoglou; Tanmay Bhowmik
Название: Reuse in the Big Data Era
ISBN: 3030228878 ISBN-13(EAN): 9783030228873
Издательство: Springer
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Цена: 54030.00 T
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Описание: This book constitutes the proceedings of the 18th International Conference on Software and Systems Reuse, ICSR 2019, held in Cincinnati, Ohio, USA in June 2019. The 13 research papers included in this book were carefully reviewed and selected from 32 submissions. In addition, 3 industry innovation papers are included. The papers were organized in topical sections named: software reuse practice; software product line and requirements reuse; reuse and design and evolution; intelligent software reuse; and domain-specific software development.

Автор: Ina Schaefer; Ioannis Stamelos
Название: Software Reuse for Dynamic Systems in the Cloud and Beyond
ISBN: 3319141295 ISBN-13(EAN): 9783319141299
Издательство: Springer
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Цена: 52170.00 T
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Описание: This book constitutes the refereed proceedings of the 14th International Conference on Software Reuse for Dynamic Systems in the Cloud and Beyond, ICSR 2015, held in Miami, FL, USA, in January 2015.

Автор: Capilla
Название: New Opportunities for Software Reuse
ISBN: 3319904205 ISBN-13(EAN): 9783319904207
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book constitutes the refereed proceedings of the 17th International Conference on Software Reuse, ICSR 2018, held in Madrid, Spain, in May 2018. The 9 revised full papers and 2 short papers presented were carefully reviewed and selected from 29 submissions.

Автор: Heiko Paulheim
Название: Ontology-based Application Integration
ISBN: 1489994300 ISBN-13(EAN): 9781489994301
Издательство: Springer
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Цена: 74490.00 T
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Описание: This volume introduces user-interface application integration and examines current problems that ontologies can solve. It details a new way of applying ontologies to system integration and discusses how end-users can benefit from semantic technologies.

Автор: Wei Lee Woon; Zeyar Aung; Stuart Madnick
Название: Data Analytics for Renewable Energy Integration
ISBN: 331913289X ISBN-13(EAN): 9783319132891
Издательство: Springer
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Цена: 37270.00 T
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Описание: This book constitutes revised selected papers from the second ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2014, held in Nancy, France, in September 2014. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book.

Автор: Wei Lee Woon; Zeyar Aung; Stuart Madnick
Название: Data Analytics for Renewable Energy Integration
ISBN: 3319274295 ISBN-13(EAN): 9783319274294
Издательство: Springer
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Описание: This bookconstitutes revised selected papers from the third ECML PKDD Workshop on DataAnalytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal,in September 2015. The 10 papers presented in this volume were carefully reviewed and selected forinclusion in this book.

Автор: Lee
Название: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System
ISBN: 3319905082 ISBN-13(EAN): 9783319905082
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.

Автор: Woon
Название: Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy
ISBN: 3319716425 ISBN-13(EAN): 9783319716428
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017.