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Visual Analytics of Movement, Gennady Andrienko; Natalia Andrienko; Peter Bak; D


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Цена: 13974.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Gennady Andrienko; Natalia Andrienko; Peter Bak; D
Название:  Visual Analytics of Movement
Перевод названия: Геннадий Андриенко: Визуальный анализ движения
ISBN: 9783662507285
Издательство: Springer
Классификация:





ISBN-10: 3662507285
Обложка/Формат: Paperback
Страницы: 387
Вес: 0.57 кг.
Дата издания: 23.08.2016
Язык: English
Размер: 234 x 156 x 21
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book introduces a general conceptual framework for the analysis of movement data from various sources. It illustrates all algorithms and methods with the help of sample applications from various domains.


Visual Analytics of Movement

Название: Visual Analytics of Movement
ISBN: 3642375820 ISBN-13(EAN): 9783642375828
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book introduces a general conceptual framework for the analysis of movement data from various sources. It illustrates all algorithms and methods with the help of sample applications from various domains.

GeoSpatial Visual Analytics

Автор: Raffaele de Amicis; R. Stojanovic; Giuseppe Conti
Название: GeoSpatial Visual Analytics
ISBN: 9048128986 ISBN-13(EAN): 9789048128983
Издательство: Springer
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Цена: 20263.00 р.
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Описание: Research trends have brought to an effective combination of data mining and information visualization, often referred to as Visual Analytics (VA). This book tackles a wide range of application domains, all relevant to environmental security.

Big Data and Visual Analytics

Автор: Sang C. Suh; Thomas Anthony
Название: Big Data and Visual Analytics
ISBN: 3319639153 ISBN-13(EAN): 9783319639154
Издательство: Springer
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Цена: 18167.00 р.
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Описание:

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics.

Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics.

This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.

Human-centered social media analytics

Название: Human-centered social media analytics
ISBN: 3319054902 ISBN-13(EAN): 9783319054902
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Human-Centered Social Media Analytics

Data Analytics for Renewable Energy Integration

Автор: Wei Lee Woon; Zeyar Aung; Oliver Kramer; Stuart Ma
Название: Data Analytics for Renewable Energy Integration
ISBN: 3319509462 ISBN-13(EAN): 9783319509464
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes revised selected papers from the 4th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2016, held in Riva del Garda, Italy, in September 2016.

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

Автор: Walter W. Piegorsch
Название: Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery
ISBN: 111903065X ISBN-13(EAN): 9781119030652
Издательство: Wiley
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Цена: 2685.00 р.
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Описание: Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery.

GeoSpatial Visual Analytics

Автор: Raffaele de Amicis; R. Stojanovic; Giuseppe Conti
Название: GeoSpatial Visual Analytics
ISBN: 9048128978 ISBN-13(EAN): 9789048128976
Издательство: Springer
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Цена: 34937.00 р.
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Описание: Research trends have brought to an effective combination of data mining and information visualization, often referred to as Visual Analytics (VA). This book tackles a wide range of application domains, all relevant to environmental security.

Practical google analytics and google tag manager for developers

Автор: Weber, Jonathan
Название: Practical google analytics and google tag manager for developers
ISBN: 148420266X ISBN-13(EAN): 9781484202661
Издательство: Springer
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Цена: 5309.00 р.
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Описание:

Whether you're a marketer with development skills or a full-on web developer/analyst, Practical Google Analytics and Google Tag Manager for Developers shows you how to implement Google Analytics using Google Tag Manager to jumpstart your web analytics measurement.

There's a reason that so many organizations use Google Analytics. Effective collection of data with Google Analytics can reduce customer acquisition costs, provide priceless feedback on new product initiatives, and offer insights that will grow a customer or client base. So where does Google Tag Manager fit in?

Google Tag Manager allows for unprecedented collaboration between marketing and technical teams, lightning fast updates to your site, and standardization of the most common tags for on-site tracking an

d marketing efforts. To achieve the rich data you're really after to better serve your users' needs, you'll need the tools Google Tag Manager provides for a best-in-class implementation of Google Analytics measurement on your site.

Written by data evangelist and Google Analytics expert Jonathan Weber and the team at LunaMetrics, this book offers foundational knowledge, a collection of practical Google Tag Manager recipes, well-tested best practices, and troubleshooting tips to get your implementation in tip-top condition. It covers topics including:

- Google Analytics implementation via Google Tag Manager

- How to customize Google Analytics for your unique situation

- Using Google Tag Manager to track and analyze interactions across multiple devices and touch points

- How to extract data from Google Analytics and use Google BigQuery to analyze Big Data questions

What You'll Learn

  • Implementation approaches for Google Analytics, including common pitfalls and troubleshooting strategies.
  • How to use tools like Google Tag Manager and jQuery to jumpstart your Google Analytics implementation.
  • How to track metrics beyond page views to other critical user interactions, such as clicks on outbound links or downloads, scrolling and page engagement, usage of AJAX forms, and much more.
  • How to incorporate additional, customized data into Google Analytics to track individual users or enrich data about their behavior.

Who This Book Is For

Web developers, data analysts, and marketers with a basic familiarity with Google Analytics from an end-user perspective, as well as some knowledge of HTML and JavaScript.

Multimedia data mining and analytics

Название: Multimedia data mining and analytics
ISBN: 3319149970 ISBN-13(EAN): 9783319149974
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Multimedia Data Mining and Analytics

Data Mining and Predictive Analytics

Автор: Larose Daniel T
Название: Data Mining and Predictive Analytics
ISBN: 1118116194 ISBN-13(EAN): 9781118116197
Издательство: Wiley
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Цена: 18842.00 р.
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Описание: Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis.

Data Mining and Business Analytics with R

Автор: Ledolter Johannes
Название: Data Mining and Business Analytics with R
ISBN: 111844714X ISBN-13(EAN): 9781118447147
Издательство: Wiley
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Цена: 17258.00 р.
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Описание: Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets.


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