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User-Centered Evaluation of Visual Analytics, Jean Scholtz


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Цена: 41580.00T
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Автор: Jean Scholtz
Название:  User-Centered Evaluation of Visual Analytics
ISBN: 9781681731476
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 1681731479
Обложка/Формат: Paperback
Страницы: 71
Вес: 0.16 кг.
Дата издания: 30.10.2017
Серия: Synthesis lectures on visualization
Язык: English
Размер: 235 x 191 x 4
Ключевые слова: Computer vision, COMPUTERS / Computer Vision & Pattern Recognition,COMPUTERS / Data Visualization,COMPUTERS / Social Aspects / Human-Computer Interaction
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Поставляется из: Англии
Описание: Describes the efforts that go into analysis, including critical thinking, sensemaking, and various analytics techniques learned from the intelligence community. The purpose of this book is to help readers understand the need for more user-centered evaluations to drive both better-designed products and to define areas for future research.

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: 135090.00 T
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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.

Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering

Автор: Alex Endert
Название: Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering
ISBN: 1627054715 ISBN-13(EAN): 9781627054713
Издательство: Mare Nostrum (Eurospan)
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Цена: 41580.00 T
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Описание: Discusses "semantic interaction", a user interaction methodology for visual analytic applications that more closely couples the visual reasoning processes of people with the computation. This methodology affords user interaction on visual data representations that are native to the domain of the data.

Healthcare Data Analytics

Автор: Reddy Chandan K.
Название: Healthcare Data Analytics
ISBN: 1482232111 ISBN-13(EAN): 9781482232110
Издательство: Taylor&Francis
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Цена: 127600.00 T
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Описание:

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.

The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients.

Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each chapter in the book is structured as a "survey-style" article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories:

  • Healthcare Data Sources and Basic Analytics - details the various healthcare data sources and analytical techniques used in the processing and analysis of such data
  • Advanced Data Analytics for Healthcare - covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analytics
  • Applications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision support

Computer scientists are usually not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain.


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: 232910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

CSCW Requirements and Evaluation

Автор: Peter Thomas
Название: CSCW Requirements and Evaluation
ISBN: 3540199632 ISBN-13(EAN): 9783540199632
Издательство: Springer
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Цена: 121110.00 T
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Описание: This work looks at the ways of evaluating how well computer systems meet the requirements of organizations and their workforces, and establishing how effective, efficient and satisfactory they are for the actual users.

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


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