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Mobile Data Mining and Applications, Hao Jiang; Qimei Chen; Yuanyuan Zeng; Deshi Li


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Автор: Hao Jiang; Qimei Chen; Yuanyuan Zeng; Deshi Li
Название:  Mobile Data Mining and Applications
ISBN: 9783030165024
Издательство: Springer
Классификация:






ISBN-10: 3030165027
Обложка/Формат: Hardcover
Страницы: 227
Вес: 0.53 кг.
Дата издания: 2019
Серия: Information Fusion and Data Science
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 77 illustrations, color; 19 illustrations, black and white; x, 227 p. 96 illus., 77 illus. in color.
Размер: 234 x 156 x 14
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed in the context of three applications: wireless communication optimization, applications of mobile data mining on the cellular networks of the future, and how mobile data shapes future cities.In the discussion of wireless communication optimization, both licensed and unlicensed spectra are exploited. Advanced topics include mobile offloading, resource sharing, user association, network selection and network coexistence. Mathematical tools, such as traditional convexappl/non-convex, stochastic processing and game theory are used to find objective solutions. Discussion of the applications of mobile data mining to cellular networks of the future includes topics such as green communication networks, 5G networks, and studies of the problems of cell zooming, power control, sleep/wake, and energy saving. The discussion of mobile data mining in the context of smart cities of the future covers applications in urban planning and environmental monitoring: the technologies of deep learning, neural networks, complex networks, and network embedded data mining. Mobile Data Mining and Applications will be of interest to wireless operators, companies, governments as well as interested end users.
Дополнительное описание: Chapter1: Introduction.- Chapter2: Mobile Data Processing and Feature Discovery.- Chapter3: Mobile Data Application in Wireless Communication.- Chapter4: Mobile Data Application in Mobile Network.- Chapter5: Mobile Data Application in Smart City.- Chapter



Data Mining and Applications in Genomics

Название: Data Mining and Applications in Genomics
ISBN: 1402089740 ISBN-13(EAN): 9781402089749
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
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Описание: Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford.

Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.

Автор: Witten, Ian H.
Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed.
ISBN: 0128042915 ISBN-13(EAN): 9780128042915
Издательство: Elsevier Science
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Цена: 9262.00 р.
Наличие на складе: Нет в наличии.

Описание:

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
Data Analytics Applications in Gaming and Entertainment

Автор: Gunter Wallner
Название: Data Analytics Applications in Gaming and Entertainment
ISBN: 1138104434 ISBN-13(EAN): 9781138104433
Издательство: Taylor&Francis
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Цена: 16078.00 р.
Наличие на складе: Нет в наличии.

Описание: Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.

Data Mining and Applications in Genomics

Название: Data Mining and Applications in Genomics
ISBN: 9048180406 ISBN-13(EAN): 9789048180400
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford.


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