Data-Driven Analytics for Sustainable Buildings and Cities: From Theory to Application, Zhang Xingxing

Автор: Solomon Michael G.
Название: Blockchain Data Analytics for Dummies
ISBN: 1119651778 ISBN-13(EAN): 9781119651772
Издательство: Wiley
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Цена: 27450.00 T
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Описание: Get ahead of the curve-learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain.

Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data.

Set your organization on the cutting edge of analytics, before your competitors get there! Learn how blockchain technologies work and how they can integrate with big dataDiscover the power and potential of blockchain analyticsEstablish data models and quickly mine for insights and resultsCreate data visualizations from blockchain analysis Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!

Автор: Bashir A. Kazimee
Название: Sustainable Urban Forms: Theory, Design, and Application
ISBN: 1634872959 ISBN-13(EAN): 9781634872959
Издательство: Mare Nostrum (Eurospan)
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Цена: 148770.00 T
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Описание: Sustainable Urban Forms: Theory, Design, and Application explores the latest research and practice regarding ways to design a more sustainable, livable world. It investigates the critical environmental problems that are created by modern cities and addresses the ecological concerns of urbanism. It also outlines creative design solutions through current viewpoints, proven strategies, and examples of good practices in the field.A blend of proven theory and carefully selected case studies from different geographical locations, the text provides an interdisciplinary, holistic overview of the subject matter. Readers will gain increased awareness of the critical environmental problems created by modern buildings and cities.Filled with outstanding graphics and visual information, Sustainable Urban Forms: Theory, Design, and Application effectively illustrates how environments can be designed to foster sustainable, livable urban communities. The book is designed for use in undergraduate courses on urban design, architecture, and environmental design. It can function as a main text, or as a companion reader in a design studio setting.

Автор: Ghosh Uttam, Maleh Yassine, Alazab Mamoun
Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
ISBN: 3030720640 ISBN-13(EAN): 9783030720643
Издательство: Springer
Цена: 158380.00 T
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Описание: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors.

Автор: Rob Roggema; Anouk Roggema
Название: Smart and Sustainable Cities and Buildings
ISBN: 3030376346 ISBN-13(EAN): 9783030376345
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book brings together the papers presented at the Smart and Sustainable Built Environments Conference, 2018 (SASBE).This latest research falls into two tracks: smart and sustainable design and planning cities;

Автор: Anandakumar Haldorai, Arulmurugan Ramu
Название: Big Data Analytics for Sustainable Computing
ISBN: 1522597506 ISBN-13(EAN): 9781522597506
Издательство: Mare Nostrum (Eurospan)
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Цена: 219910.00 T
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Описание: Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science.

Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Автор: Mark Van Rijmenam
Название: The Organisation of Tomorrow: How AI, blockchain and analytics turn your business into a data organisation
ISBN: 0367234718 ISBN-13(EAN): 9780367234713
Издательство: Taylor&Francis
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Цена: 137810.00 T
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Описание: The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions.

Автор: Mark Van Rijmenam
Название: The Organisation of Tomorrow: How AI, blockchain and analytics turn your business into a data organisation
ISBN: 036723470X ISBN-13(EAN): 9780367234706
Издательство: Taylor&Francis
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Цена: 33670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions.

Автор: Agnieszka Stec
Название: Sustainable Water Management in Buildings
ISBN: 3030359581 ISBN-13(EAN): 9783030359584
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book expands the body of scientific knowledge on research and solutions for alternative water systems. It addresses a wide variety of water management issues in buildings, ranging from the technical possibilities, hydraulic and financial efficiency, and public acceptance of decentralized water systems, to their impact on sewage systems.

Автор: Ponocko Jelena
Название: Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks
ISBN: 3030399427 ISBN-13(EAN): 9783030399429
Издательство: Springer
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Цена: 93160.00 T
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Описание: This thesis deals with two important and very timely aspects of the future power system operation - assessment of demand flexibility and advanced demand side management (DSM) facilitating flexible and secure operation of the power network.

Автор: Bibri Simon Elias
Название: Big Data Science and Analytics for Smart Sustainable Urbanism: Unprecedented Paradigmatic Shifts and Practical Advancements
ISBN: 3030173143 ISBN-13(EAN): 9783030173142
Издательство: Springer
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Цена: 260870.00 T
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Описание: Introduction: The Evolving Data-Driven Smart Sustainable Approach to Urbanism for Tackling the Challenges of Sustainability and Urbanization.- Smart Sustainable Urbanism and Big Data Computing: A Topical Literature Review.- Conceptual, Theoretical, and Disciplinary Foundations: An Interdisciplinary and Transdisciplinary Perspective.- The Data-Driven Smart Sustainable Paradigm of Urbanism: A Qualitative Analysis of Long-lasting Trends.- The Anatomy of the Data-Driven Smart Sustainable City: Instrumentation, Datafication, Computerization, and Technologization.- Paradigmatic, Scientific, Scholarly, Epistemic, and Discursive Shifts in Light of Big Data Science and Analytics.- On the Unsustainability and Sustainability of Smart Urbanism in the Era of Big Data.- Advancing Sustainable Urbanism Processes: The Key Practical and Analytical Applications of Big Data Computing for Urban Systems and Domains.- The Unfolding and Soaring Data Deluge for Advancing Smart Sustainable Urbanism: Data-Driven Urban Studies and Analytics.- Data-Driven Smart Sustainable Urbanism: Decision-Making, Intelligence Functions, Simulation Models, Optimization Methods, and their Synergy in Complex City Systems.- Towards a Novel Model Integrating the Data-Driven City, the Eco-city, and the Compact City: A Scholarly and Planning Approach to Future Vision Construction.

Автор: Simon Elias Bibri
Название: Big Data Science and Analytics for Smart Sustainable Urbanism
ISBN: 3030173119 ISBN-13(EAN): 9783030173111
Издательство: Springer
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Цена: 204970.00 T
Наличие на складе: Поставка под заказ.
Описание: We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications.This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development.This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Автор: Eftihia G. Nathanail; Ioannis D. Karakikes
Название: Data Analytics: Paving the Way to Sustainable Urban Mobility
ISBN: 3030023044 ISBN-13(EAN): 9783030023041
Издательство: Springer
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Цена: 232910.00 T
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Описание: This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility