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Advanced Analytics and Learning on Temporal Data, Vincent Lemaire; Simon Malinowski; Anthony Bagnall


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Автор: Vincent Lemaire; Simon Malinowski; Anthony Bagnall
Название:  Advanced Analytics and Learning on Temporal Data
ISBN: 9783030390976
Издательство: Springer
Классификация:


ISBN-10: 3030390977
Обложка/Формат: Soft cover
Страницы: 229
Вес: 0.37 кг.
Дата издания: 2020
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 90 illustrations, color; 19 illustrations, black and white; x, 229 p. 109 illus., 90 illus. in color.
Размер: 23.39 x 15.60 x 1.30 cm
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 4th ECML PKDD Workshop, AALTD 2019, W?rzburg, Germany, September 20, 2019, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Wurzburg, Germany, in September 2019. The 7 full papers presented together with 9 poster papers were carefully reviewed and selected from 31 submissions.

Advanced Analytics and Learning on Temporal Data: 5th Ecml Pkdd Workshop, Aaltd 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers

Автор: Lemaire Vincent, Malinowski Simon, Bagnall Anthony
Название: Advanced Analytics and Learning on Temporal Data: 5th Ecml Pkdd Workshop, Aaltd 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers
ISBN: 3030657418 ISBN-13(EAN): 9783030657413
Издательство: Springer
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 4th ECML PKDD Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2019, held in Ghent, Belgium, in September 2020. The 15 full papers presented in this book were carefully reviewed and selected from 29 submissions.

Advanced Data Analytics in Health

Автор: Giabbanelli
Название: Advanced Data Analytics in Health
ISBN: 3319779109 ISBN-13(EAN): 9783319779102
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.

Mobility Analytics for Spatio-Temporal and Social Data

Автор: Christos Doulkeridis; George A. Vouros; Qiang Qu;
Название: Mobility Analytics for Spatio-Temporal and Social Data
ISBN: 3319735209 ISBN-13(EAN): 9783319735207
Издательство: Springer
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Цена: 39130.00 T
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Описание: This book constitutes the refereed post-conference proceedings of the First International Workshop on Mobility Analytics for Spatio-Temporal and Social Data, MATES 2017, held in Munich, Germany, in September 2017. The 6 revised full papers and 2 short papers included in this volume were carefully reviewed and selected from 13 submissions. Also included are two keynote speeches. The papers intend to raise awareness of real-world problems in critical domains which require novel data management solutions. They are organized in two thematic sections: social network analytics and applications, and spatio-temporal mobility analytics.

Advanced Data Analytics in Health

Автор: Giabbanelli Philippe J., Mago Vijay K., Papageorgiou Elpiniki I.
Название: Advanced Data Analytics in Health
ISBN: 3030085716 ISBN-13(EAN): 9783030085711
Издательство: Springer
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Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning.

Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictiv

Автор: Kumar Ashish, Babcock Joseph
Название: Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictiv
ISBN: 1788992369 ISBN-13(EAN): 9781788992367
Издательство: Неизвестно
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Цена: 122600.00 T
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Описание: Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. This book is your guide to getting ...

Advanced Deep Learning Applications in Big Data Analytics

Автор: Bouarara Hadj Ahmed
Название: Advanced Deep Learning Applications in Big Data Analytics
ISBN: 1799827917 ISBN-13(EAN): 9781799827917
Издательство: Mare Nostrum (Eurospan)
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Цена: 204820.00 T
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Описание: Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today's digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.

Advanced Deep Learning Applications in Big Data Analytics

Автор: Bouarara Hadj Ahmed
Название: Advanced Deep Learning Applications in Big Data Analytics
ISBN: 1799827925 ISBN-13(EAN): 9781799827924
Издательство: Mare Nostrum (Eurospan)
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Цена: 154660.00 T
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Описание: Explores architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is designed for engineers, data analysts, data scientists, IT specialists, marketers, researchers, academics, and students.

Advanced Analysis and Learning on Temporal Data

Автор: Douzal-Chouakria
Название: Advanced Analysis and Learning on Temporal Data
ISBN: 3319444115 ISBN-13(EAN): 9783319444116
Издательство: Springer
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Цена: 39130.00 T
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Описание: The last part of the book is dedicated to metric learning and time series comparison, it addresses the problem of speeding-up the dynamic time warping or dealing with multi-modal and multi-scale metric learning for time series classification and clustering.

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Автор: Editors: Deo, R., Samui, P., Kisi, O., Zaher, Y.
Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
ISBN: 9811557713 ISBN-13(EAN): 9789811557712
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.

Big Data Analytics for Sensor-Network Collected Intelligence

Автор: Hsu, Hui-Huang
Название: Big Data Analytics for Sensor-Network Collected Intelligence
ISBN: 0128093935 ISBN-13(EAN): 9780128093931
Издательство: Elsevier Science
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Цена: 101060.00 T
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Описание:

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.

It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.

In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS


  • Contains contributions from noted scholars in computer science and electrical engineering from around the globe
  • Provides a broad overview of recent developments in sensor collected intelligence
  • Edited by a team comprised of leading thinkers in big data analytics

Big Data Analytics: A Management Perspective

Автор: Corea
Название: Big Data Analytics: A Management Perspective
ISBN: 3319389912 ISBN-13(EAN): 9783319389912
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership – while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.

Big Data Analytics and Knowledge Discovery

Автор: Madria
Название: Big Data Analytics and Knowledge Discovery
ISBN: 3319439456 ISBN-13(EAN): 9783319439457
Издательство: Springer
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Цена: 54040.00 T
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Описание: The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and Searching, Big Data Learning and Security, Graph Databases and Data Warehousing, Data Intelligence and Technology.


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