Mastering the Information Age - Solving Problems with Visual Analytics

Mastering the Information Age - Solving Problems with Visual Analytics PDF Author: Daniel A. Keim
Publisher: Florian Mansmann
ISBN: 9783905673777
Category :
Languages : en
Pages : 168

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Book Description

Mastering the Information Age - Solving Problems with Visual Analytics

Mastering the Information Age - Solving Problems with Visual Analytics PDF Author: Daniel A. Keim
Publisher: Florian Mansmann
ISBN: 9783905673777
Category :
Languages : en
Pages : 168

Get Book Here

Book Description


Visual Analytics for Management

Visual Analytics for Management PDF Author: Elliot Bendoly
Publisher: Routledge
ISBN: 1317278372
Category : Business & Economics
Languages : en
Pages : 308

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Book Description
This book provides students with an in-depth understanding of the concepts, frameworks and processes used to analyze and present visual data for better decision-making. Expert contributors provide guidance in translating complex concepts from large data sets and how this translation drives management practice. The book’s first part provides a descriptive consideration of state-of-the-art science in visual design. The second part complements the first with a rich set of cases and visual examples, illustrating development and best practice to provide students with real-world context. Through their presentation of modern scientific principles, the editors inspire structured discussions of audience and design, recognizing differences in need, bias and effective processes across contexts and stakeholders. This cutting-edge resource will be of value to students in business analytics, business communication and management science classes, who will learn to be capable managers through the effective and direct visual communication of data. Researchers and practitioners will also find this an engaging and informative book.

Visual Analytics for Data Scientists

Visual Analytics for Data Scientists PDF Author: Natalia Andrienko
Publisher: Springer Nature
ISBN: 3030561461
Category : Computers
Languages : en
Pages : 450

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Book Description
This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced. Special emphasis is placed on various instructive examples of analyses, in which the need for and the use of visualisations are explained in detail. The book begins by introducing the main ideas and concepts of visual analytics and explaining why it should be considered an essential part of data science methodology and practices. It then describes the general principles underlying the visual analytics approaches, including those on appropriate visual representation, the use of interactive techniques, and classes of computational methods. It continues with discussing how to use visualisations for getting aware of data properties that need to be taken into account and for detecting possible data quality issues that may impair the analysis. The second part of the book describes visual analytics methods and workflows, organised by various data types including multidimensional data, data with spatial and temporal components, data describing binary relationships, texts, images and video. For each data type, the specific properties and issues are explained, the relevant analysis tasks are discussed, and appropriate methods and procedures are introduced. The focus here is not on the micro-level details of how the methods work, but on how the methods can be used and how they can be applied to data. The limitations of the methods are also discussed and possible pitfalls are identified. The textbook is intended for students in data science and, more generally, anyone doing or planning to do practical data analysis. It includes numerous examples demonstrating how visual analytics techniques are used and how they can help analysts to understand the properties of data, gain insights into the subject reflected in the data, and build good models that can be trusted. Based on several years of teaching related courses at the City, University of London, the University of Bonn and TU Munich, as well as industry training at the Fraunhofer Institute IAIS and numerous summer schools, the main content is complemented by sample datasets and detailed, illustrated descriptions of exercises to practice applying visual analytics methods and workflows.

User-Centered Evaluation of Visual Analytics

User-Centered Evaluation of Visual Analytics PDF Author: Jean Scholtz
Publisher: Springer Nature
ISBN: 3031026055
Category : Mathematics
Languages : en
Pages : 71

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Book Description
Visual analytics has come a long way since its inception in 2005. The amount of data in the world today has increased significantly and experts in many domains are struggling to make sense of their data. Visual analytics is helping them conduct their analyses. While software developers have worked for many years to develop software that helps users do their tasks, this task is becoming more and more onerous, as understanding the needs and data used by expert users requires more than some simple usability testing during the development process. The need for a user-centered evaluation process was envisioned in Illuminating the Path, the seminal work on visual analytics by James Thomas and Kristin Cook in 2005. We have learned over the intervening years that not only will user-centered evaluation help software developers to turn out products that have more utility, the evaluation efforts can also help point out the direction for future research efforts. This book describes the efforts that go into analysis, including critical thinking, sensemaking, and various analytics techniques learned from the intelligence community. Support for these components is needed in order to provide the most utility for the expert users. There are a good number of techniques for evaluating software that hasbeen developed within the human-computer interaction (HCI) community. While some of these techniques can be used as is, others require modifications. These too are described in the book. An essential point to stress is that the users of the domains for which visual analytics tools are being designed need to be involved in the process. The work they do and the obstacles in their current processes need to be understood in order to determine both the types of evaluations needed and the metrics to use in these evaluations. At this point in time, very few published efforts describe more than informal evaluations. 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. Hopefully readers will view this work as an exciting and creative effort and will join the community involved in these efforts.

Information Modelling and Knowledge Bases XXIV

Information Modelling and Knowledge Bases XXIV PDF Author: Peter Vojtáš
Publisher: IOS Press
ISBN: 1614991766
Category : Computers
Languages : en
Pages : 376

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Book Description
With the growth in our reliance on information systems and computer science information modeling and knowledge bases have become a focus for academic attention and research. The amount and complexity of information, the number of levels of abstraction and the size of databases and knowledge bases all continue to increase, and new challenges and problems arise every day.This book is part of the series Information Modelling and Knowledge Bases, which concentrates on a variety of themes such as the design and specification of information systems, software engineering and knowledge and process management.

DHealth 2022

DHealth 2022 PDF Author: G. Schreier
Publisher: IOS Press
ISBN: 1643682830
Category : Medical
Languages : en
Pages : 298

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Book Description
Digital technology is now an indispensible part of modern healthcare, and this reliance is only likely to increase, with the healthcare of the future set to become ever more data-driven, decision-supporting, deep, and simply more digital. This book presents the proceedings of the 16th annual conference on Health Informatics Meets Digital Health (dHealth 2022), held on 24 and 25 May 2022 in Vienna, Austria. In keeping with its interdisciplinary mission, the conference series provides a platform for researchers and decision makers, health professionals and healthcare providers, as well as government and industry representatives, to discuss innovative digital health solutions to improve the quality and efficiency of healthcare using digital technologies. The book includes 42 papers covering a wide range of topics and providing an insight into the state-of-the-art of different aspects of dHealth, including the design and evaluation of user interfaces, patient-centered solutions, electronic health/medical/patient records, machine learning in healthcare and biomedical data analytics. Offering the reader an interdisciplinary view of the state-of-the-art and of ongoing research activities in digital health, the book will be of interest to healthcare students and professionals everywhere.

Visualization of Time-Oriented Data

Visualization of Time-Oriented Data PDF Author: Wolfgang Aigner
Publisher: Springer Nature
ISBN: 1447175271
Category : Computers
Languages : en
Pages : 453

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Book Description
This is an open access book. Time is an exceptional dimension with high relevance in medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data via visual representations enables us to learn from the past in order to predict, plan, and build the future. This second edition builds upon the great success of the first edition. It maintains a brief introduction to visualization and a review of historical time-oriented visual representations. At its core, the book develops a systematic view of the visualization of time-oriented data. Separate chapters discuss interaction techniques and computational methods for supporting the visual data analysis. Many examples and figures illustrate the introduced concepts and techniques. So, what is new for the second edition? First of all, the second edition is now published as an open-access book so that anyone interested in the visualization of time and time-oriented data can read it. Second, the entire content has been revised and expanded to represent state-of-the-art knowledge. The chapter on interaction support now includes advanced methods for interacting with visual representations of time-oriented data. The second edition also covers the topics of data quality as well as segmentation and labeling. The comprehensive survey of classic and contemporary visualization techniques now provides more than 150 self-contained descriptions accompanied by illustrations and corresponding references. A completely new chapter describes how the structured survey can be used for the guided selection of suitable visualization techniques. For the second edition, our TimeViz Browser, the digital pendant to the survey of visualization techniques, received a major upgrade. It includes the same set of techniques as the book, but comes with additional filter and search facilities allowing scientists and practitioners to find exactly the solutions they are interested in.

Sports Analytics

Sports Analytics PDF Author: Ambikesh Jayal
Publisher: Routledge
ISBN: 1351838954
Category : Sports & Recreation
Languages : en
Pages : 236

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Book Description
As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available. Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including: Interactive visualisation Simulation and modelling Geospatial data analysis Spatiotemporal analysis Machine learning Genomic data analysis Social network analysis Offering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.

Methods for Researching Professional Learning and Development

Methods for Researching Professional Learning and Development PDF Author: Michael Goller
Publisher: Springer Nature
ISBN: 3031085183
Category : Education
Languages : en
Pages : 625

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Book Description
This volume provides alternatives for tackling existing empirical, methodological, and analytical challenges. It does so by providing a broad overview of less established, as well as emerging methods, which are of great relevance for current research on professional learning and development. As such, it offers a comprehensive collection of state-of-the-art methodologies and future directions within the workplace learning and professional development research. By describing these novel approaches and providing empirical illustrations, the book promotes innovative methodologies for investigating professional learning and development. It also supports scholars to understand upcoming empirical research and methods and encourages novice as well as established researchers to adopt new empirical strategies beyond traditional ones that have the potential to enrich a better understanding of professional learning and development.

Internet of Things

Internet of Things PDF Author: Nasreddine Bouhaï
Publisher: John Wiley & Sons
ISBN: 1119476534
Category : Technology & Engineering
Languages : en
Pages : 252

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Book Description
The development of connected, communicating objects is showing no signs of slowing down. With an increasing number of objects available on the market, the evolution of the Internet of Things is leading to more and more fields being explored via information and communication sciences. This book analyzes the ecosystem of the Internet of Things by retracing the historical and technological context of the Internet's evolution from traditional to dynamic, social and semantic, and then towards this ecosystem of connected objects. The evolution of concepts surrounding the Internet of Things is explored via real-life examples of connected objects; both those used for specific functions and for more general everyday objects. Numerous issues associated with these new technological and digital transformations in a "hyperconnected" world, as well as the impact of the massive influx of connected objects, are discussed. The crucial questions of potential intrusion into the private lives of users as well that of security are then studied.