Christian Tominski's Books

Interaction for Visualization

By: Christian Tominski

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Visualization has become a valuable means for data exploration and analysis. Interactive visualization combines expressive graphical representations and effective user interaction. Although interaction is an important component of visualization approaches, much of the visualization literature tends to pay more attention to the graphical representation than to interaction. The goal of this work is to strengthen the interaction side of visualization. Based on a brief review of general aspects of interaction, we develop an interaction-oriented view on visualization. This view comprises five key aspects: the data, the tasks, the technology, the human, as well as the implementation. Picking up these aspects individually, we elaborate several interaction methods for visualization. We introduce a multi-threading architecture for efficient interactive exploration. We present interaction techniques for different types of data e.g., multivariate data, spatio-temporal data, graphs) and different visualization tasks (e.g., exploratory navigation, visual comparison, visual editing). With respect to technology, we illustrate approaches that utilize modern interaction modalities (e.g., touch, tangibles, proxemics) as well as classic ones. While the human is important throughout this work, we also consider automatic methods to assist the interactive part. In addition to solutions for individual problems, a major contribution of this work is the overarching view of interaction in visualization as a whole. This includes a critical discussion of interaction, the identification of links between the key aspects of interaction, and the formulation of research topics for future work with a focus on interaction.

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Springer Nature

Published Date

ISBN 10

3031026004

ISBN 13

9783031026003

Visualization of Time-Oriented Data

By: Wolfgang Aigner,Silvia Miksch,Heidrun Schumann,Christian Tominski

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Visualization of Time-Oriented Data

By: Wolfgang Aigner,Silvia Miksch,Heidrun Schumann,Christian Tominski

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.

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453

Publisher

Springer Nature

Published Date

ISBN 10

1447175271

ISBN 13

9781447175278

Interactive Visual Data Analysis

By: Christian Tominski,Heidrun Schumann

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Interactive Visual Data Analysis

By: Christian Tominski,Heidrun Schumann

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains. Features: Dedicated to the synthesis of visual, interactive, and analysis methods Systematic top-down view on visualization, interaction, and automatic analysis Broad coverage of fundamental and advanced visualization techniques Comprehensive chapter on interacting with visual representations Extensive integration of automatic computational methods Accessible portrayal of cutting-edge visual analytics technology Foreword by Jack van Wijk For more information, you can also visit the author website, where the book's figures are made available under the CC BY Open Access license.

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Page Count

318

Publisher

CRC Press

Published Date

ISBN 10

1351648748

ISBN 13

9781351648745

Interaction for Visualization

By: Christian Tominski

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Interaction for Visualization

By: Christian Tominski

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Springer Nature

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ISBN 10

3031026004

ISBN 13

9783031026003

An Introduction to Discrete-Valued Time Series

By: Christian H. Weiss

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An Introduction to Discrete-Valued Time Series

By: Christian H. Weiss

A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, economics, computer science, epidemiology, finance, manufacturing and meteorology, to name just a few. Despite growing interest in discrete-valued time series—especially those arising from counting specific objects or events at specified times—most books on time series give short shrift to that increasingly important subject area. This book seeks to rectify that state of affairs by providing a much needed introduction to discrete-valued time series, with particular focus on count-data time series. The main focus of this book is on modeling. Throughout numerous examples are provided illustrating models currently used in discrete-valued time series applications. Statistical process control, including various control charts (such as cumulative sum control charts), and performance evaluation are treated at length. Classic approaches like ARMA models and the Box-Jenkins program are also featured with the basics of these approaches summarized in an Appendix. In addition, data examples, with all relevant R code, are available on a companion website. Provides a balanced presentation of theory and practice, exploring both categorical and integer-valued series Covers common models for time series of counts as well as for categorical time series, and works out their most important stochastic properties Addresses statistical approaches for analyzing discrete-valued time series and illustrates their implementation with numerous data examples Covers classical approaches such as ARMA models, Box-Jenkins program and how to generate functions Includes dataset examples with all necessary R code provided on a companion website An Introduction to Discrete-Valued Time Series is a valuable working resource for researchers and practitioners in a broad range of fields, including statistics, data science, machine learning, and engineering. It will also be of interest to postgraduate students in statistics, mathematics and economics.

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Page Count

300

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119096960

ISBN 13

9781119096962

Interactive Visual Data Analysis

By: Christian Tominski,Heidrun Schumann

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Interactive Visual Data Analysis

By: Christian Tominski,Heidrun Schumann

Based on comprehensive taxonomies for both data and tasks Considers three challenging problems: incremental visualization, visual design and guidance Systematically investigates the visualization of multi-faceted data and networks A comprehensive overview on interaction is provided Visualization approaches in innovative display environments (large high-resolution displays, smart environments) are discussed

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Page Count

365

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CRC Press

Published Date

ISBN 10

149875399X

ISBN 13

9781498753999

Visualization of Time-Oriented Data

By: Wolfgang Aigner,Silvia Miksch,Heidrun Schumann,Christian Tominski

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Visualization of Time-Oriented Data

By: Wolfgang Aigner,Silvia Miksch,Heidrun Schumann,Christian Tominski

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Solve jigsaw puzzle

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453

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Springer Nature

Published Date

ISBN 10

1447175271

ISBN 13

9781447175278

Book's by Christian Tominski

Interaction for Visualization

Interaction for Visualization

Visualization of Time-Oriented Data

Visualization of Time-Oriented Data

Interactive Visual Data Analysis

Interactive Visual Data Analysis

Interaction for Visualization

Interaction for Visualization

An Introduction to Discrete-Valued Time Series

An Introduction to Discrete-Valued Time Series

Interactive Visual Data Analysis

Interactive Visual Data Analysis

Visualization of Time-Oriented Data

Visualization of Time-Oriented Data

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