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Smart Cities: Big Data Prediction Methods and Applications, Liu Hui


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Автор: Liu Hui
Название:  Smart Cities: Big Data Prediction Methods and Applications
ISBN: 9789811528361
Издательство: Springer
Классификация:



ISBN-10: 9811528365
Обложка/Формат: Hardcover
Страницы: 314
Вес: 0.63 кг.
Дата издания: 26.03.2020
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 38 tables, color; 20 illustrations, color; 231 illustrations, black and white; xxxv, 314 p. 251 illus., 20 illus. in color.
Размер: 23.88 x 16.51 x 1.78 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Smart Cities: Big Data Prediction Methods and Applications is the first reference to provide a comprehensive overview of smart cities with the latest big data predicting techniques. This timely book discusses big data forecasting for smart cities.


Intelligent Methods and Big Data in Industrial Applications

Автор: Bembenik
Название: Intelligent Methods and Big Data in Industrial Applications
ISBN: 3319776037 ISBN-13(EAN): 9783319776033
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Data-Driven Prediction for Industrial Processes and Their Applications

Автор: Zhao
Название: Data-Driven Prediction for Industrial Processes and Their Applications
ISBN: 3319940503 ISBN-13(EAN): 9783319940502
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies.

Data-Driven Prediction for Industrial Processes and Their Applications

Автор: Jun Zhao; Wei Wang; Chunyang Sheng
Название: Data-Driven Prediction for Industrial Processes and Their Applications
ISBN: 3030067858 ISBN-13(EAN): 9783030067854
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals within the machine learning and data analysis and mining communities.

Intelligent Methods and Big Data in Industrial Applications

Автор: Robert Bembenik; ?ukasz Skonieczny; Grzegorz Prota
Название: Intelligent Methods and Big Data in Industrial Applications
ISBN: 3030084922 ISBN-13(EAN): 9783030084929
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications

Автор: Pani Subhendu Kumar, Singh Sanjay Kumar, Garg Lalit
Название: Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications
ISBN: 1119711096 ISBN-13(EAN): 9781119711094
Издательство: Wiley
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Цена: 28979.00 р.
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Описание: For centuries people have recognised the importance of language in creating and applying law. This edited volume shows scholars and students how modern linguistics and related fields contribute to understanding the role language plays, and what follows from viewing law`s power as a matter of situated communication in specific social relations rather than an abstract system of rules.

Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications: 7th International Conference, Fdse 202

Автор: Dang Tran Khanh, Kьng Josef, Takizawa Makoto
Название: Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications: 7th International Conference, Fdse 202
ISBN: 9813343699 ISBN-13(EAN): 9789813343696
Издательство: Springer
Цена: 15372.00 р.
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Описание: This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, held in Quy Nhon, Vietnam, in November 2020.*The 29 full papers and 8 short were carefully reviewed and selected from 161 submissions.

Time series analysis methods and applications for flight data

Автор: Zhang, Jianye Zhang, Peng
Название: Time series analysis methods and applications for flight data
ISBN: 3662534282 ISBN-13(EAN): 9783662534281
Издательство: Springer
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Цена: 19564.00 р.
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Описание: As mass flight data possesses the typical characteristics of time series, the time series analysis methods and their application for flight data have been illustrated from several aspects, such as data filtering, data extension, feature optimization, similarity search, trend monitoring, fault diagnosis, and parameter prediction, etc.

Innovations in Smart Cities and Applications

Автор: Mohamed Ben Ahmed; Anouar Abdelhakim Boudhir
Название: Innovations in Smart Cities and Applications
ISBN: 3319744992 ISBN-13(EAN): 9783319744995
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Logical model of Autonomous System implementing IPv6 addressing.- Model Driven Modernization and Cloud Migration Framework with Smart Use Case.- SDL Modeling and Validation of Home Area Network in Smart Grid Systems.- Automatics Tools and methods for patents analysis: Efficient methodology for patent document Clustering.- Impact of Aggregation Level and Deterrence Function Choice on the Parameters of Gravity Model.- A Semantic Web Architecture for Context Recommendation System in E-learning Applications.- BECAMEDA: a customizable method to specify and verify the behavior of multi-agent systems.- Ontology of the CBA: Towards Operationalization and Implementation.

Innovations in Smart Cities Applications Edition 2

Автор: Mohamed Ben Ahmed; Anouar Abdelhakim Boudhir; Ali
Название: Innovations in Smart Cities Applications Edition 2
ISBN: 3030111954 ISBN-13(EAN): 9783030111953
Издательство: Springer
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Цена: 30745.00 р.
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Описание: This book highlights cutting-edge research presented at the third installment of the International Conference on Smart City Applications (SCA2018), held in T?touan, Morocco on October 10–11, 2018. It presents original research results, new ideas, and practical lessons learned that touch on all aspects of smart city applications. The respective papers share new and highly original results by leading experts on IoT, Big Data, and Cloud technologies, and address a broad range of key challenges in smart cities, including Smart Education and Intelligent Learning Systems, Smart Healthcare, Smart Building and Home Automation, Smart Environment and Smart Agriculture, Smart Economy and Digital Business, and Information Technologies and Computer Science, among others. In addition, various novel proposals regarding smart cities are discussed. Gathering peer-reviewed chapters written by prominent researchers from around the globe, the book offers an invaluable instructional and research tool for courses on computer and urban sciences; students and practitioners in computer science, information science, technology studies and urban management studies will find it particularly useful. Further, the book is an excellent reference guide for professionals and researchers working in mobility, education, governance, energy, the environment and computer sciences.

Security in Smart Cities: Models, Applications, and Challenges

Автор: Aboul Ella Hassanien; Mohamed Elhoseny; Syed Hassa
Название: Security in Smart Cities: Models, Applications, and Challenges
ISBN: 3030131858 ISBN-13(EAN): 9783030131852
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
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Описание:

This book offers an essential guide to IoT Security, Smart Cities, IoT Applications, etc. In addition, it presents a structured introduction to the subject of destination marketing and an exhaustive review on the challenges of information security in smart and intelligent applications, especially for IoT and big data contexts. Highlighting the latest research on security in smart cities, it addresses essential models, applications, and challenges.
Written in plain and straightforward language, the book offers a self-contained resource for readers with no prior background in the field. Primarily intended for students in Information Security and IoT applications (including smart cities systems and data heterogeneity), it will also greatly benefit academic researchers, IT professionals, policymakers and legislators. It is well suited as a reference book for both undergraduate and graduate courses on information security approaches, the Internet of Things, and real-world intelligent applications.
Security in Smart Cities: Models, Applications, and Challenges

Автор: Aboul Ella Hassanien; Mohamed Elhoseny; Syed Hassa
Название: Security in Smart Cities: Models, Applications, and Challenges
ISBN: 3030015599 ISBN-13(EAN): 9783030015596
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book offers an essential guide to IoT Security, Smart Cities, IoT Applications, etc. In addition, it presents a structured introduction to the subject of destination marketing and an exhaustive review on the challenges of information security in smart and intelligent applications, especially for IoT and big data contexts. Highlighting the latest research on security in smart cities, it addresses essential models, applications, and challenges.
Written in plain and straightforward language, the book offers a self-contained resource for readers with no prior background in the field. Primarily intended for students in Information Security and IoT applications (including smart cities systems and data heterogeneity), it will also greatly benefit academic researchers, IT professionals, policymakers and legislators. It is well suited as a reference book for both undergraduate and graduate courses on information security approaches, the Internet of Things, and real-world intelligent applications.
Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications

Автор: Dombi Jуzsef, Jуnбs Tamбs
Название: Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications
ISBN: 3030519481 ISBN-13(EAN): 9783030519483
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание: It also examines approximations of four notable probability distributions (Weibull, exponential, logistic and normal) using a unified probability distribution function, and presents a fuzzy arithmetic-based time series model that provides an easy-to-use forecasting technique.


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