Автор: Mavromoustakis Название: Advances in Mobile Cloud Computing and Big Data in the 5G Era ISBN: 331945143X ISBN-13(EAN): 9783319451435 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks.The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.
Автор: R.K. Ghosh Название: Wireless Networking and Mobile Data Management ISBN: 9811039402 ISBN-13(EAN): 9789811039409 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines two main topics, namely, Wireless Networking and Mobile Data Management. Furthermore, the book discusses mobile operating systems and wireless network application level protocols such as Wireless Application Protocols (WAP), Mobile IP and Mosh.The second part highlights mobile data management.
Автор: Hassan, Emad Название: Security and data reliability in cooperative wireless networks ISBN: 1138092797 ISBN-13(EAN): 9781138092792 Издательство: Taylor&Francis Рейтинг: Цена: 16843.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: There is a resurgence of interest in the security of data transmission in wireless systems from physical layer point of view. To enhance the security and data reliability in cooperative wireless networks, this book provides new solutions for these problems.
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Автор: Georgios Skourletopoulos; George Mastorakis; Const Название: Mobile Big Data ISBN: 3319679244 ISBN-13(EAN): 9783319679242 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications.
Описание: Presents recent advances in communication and networking technologies reflecting the state-of-the-art research achievements in novel communication technology and network optimization. Technical topics discussed in the book include Data Center Networks, Mobile Ad Hoc Networks, Multimedia Networks, Internet of Things, Wireless Spectrum, Network Optimization.
Автор: Rasouli & Timmermans Название: Mobile Technologies For Activity-Travel Data Collection And Analysis ISBN: 1466661704 ISBN-13(EAN): 9781466661707 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32848.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As mobile technologies become ever more pervasive in modern society, users find increasingly innovative methods to take advantage of the newest developments and mobile devices. Data mining, in particular, has seen a vast shift as a result of wireless technologies.Mobile Technologies for Active-Travel Data Collection and Analysis concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry. This critical reference source will provide travel agents, visitors, and hosts with the most advanced data mining methods, empirical research findings, and computational analysis techniques necessary to compete effectively in the global tourism industry.
Автор: Miao Название: Fundamentals of Mobile Data Networks ISBN: 1107143217 ISBN-13(EAN): 9781107143210 Издательство: Cambridge Academ Рейтинг: Цена: 13622.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive text uniquely focussing on the design and management of state-of-the-art wireless mobile data networks for maximum efficiency. Including worked examples and end-of-chapter problems, and with solutions and lecture slides available online, it is ideal for students, researchers, and professionals in wireless communications.
Название: Mobile Data Communications System ISBN: 0890067511 ISBN-13(EAN): 9780890067512 Издательство: Artech House Рейтинг: Цена: 12936.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work provides a detailed introduction to: the current state of mobile data communications systems; the future wireless network; the radio propagation environment; error-control techniques; protocols; architectures; applications; and systems standards that support data communications.
Автор: Paola Pucci; Fabio Manfredini; Paolo Tagliolato Название: Mapping Urban Practices Through Mobile Phone Data ISBN: 331914832X ISBN-13(EAN): 9783319148328 Издательство: Springer Рейтинг: Цена: 7836.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains the potential value of using mobile phone data to monitor urban practices and identify rhythms of use in today`s cities.
Автор: Jin Jing; Anupam Joshi Название: Mobile Data Management and Applications ISBN: 0792385969 ISBN-13(EAN): 9780792385967 Издательство: Springer Рейтинг: Цена: 20956.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mobile Data Management and Applications brings together in one place important contributions and up-to-date research results in this fast moving area. Mobile Data Management and Applications serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Автор: Conti Название: Mobile Networks for Biometric Data Analysis ISBN: 3319396986 ISBN-13(EAN): 9783319396989 Издательство: Springer Рейтинг: Цена: 32652.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book showcases new and innovative approaches to biometric data capture and analysis, focusing especially on those that are characterized by non-intrusiveness, reliable prediction algorithms, and high user acceptance. It comprises the peer-reviewed papers from the international workshop on the subject that was held in Ancona, Italy, in October 2014 and featured sessions on ICT for health care, biometric data in automotive and home applications, embedded systems for biometric data analysis, biometric data analysis: EMG and ECG, and ICT for gait analysis. The background to the book is the challenge posed by the prevention and treatment of common, widespread chronic diseases in modern, aging societies. Capture of biometric data is a cornerstone for any analysis and treatment strategy. The latest advances in sensor technology allow accurate data measurement in a non-intrusive way, and in many cases it is necessary to provide online monitoring and real-time data capturing to support a patient’s prevention plans or to allow medical professionals to access the patient’s current status. This book will be of value to all with an interest in this expanding field.
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