Interactive Visual Data Analysis
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Interactive Visual Data Analysis
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Author : Christian Tominski
language : en
Publisher: CRC Press
Release Date : 2020-04-01
Interactive Visual Data Analysis written by Christian Tominski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Computers categories.
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.
Interactive Visual Data Analysis
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Author : Christian Tominski
language : en
Publisher: CRC Press
Release Date : 2020-04-01
Interactive Visual Data Analysis written by Christian Tominski and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Computers categories.
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.
Cloud Computing Big Data Emerging Topics
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Author : Marcelo Naiouf
language : en
Publisher: Springer Nature
Release Date : 2023-08-10
Cloud Computing Big Data Emerging Topics written by Marcelo Naiouf and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-10 with Computers categories.
This book constitutes the revised selected papers of the 11th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2023, held in La Plata, Argentina*, in June 2023. The 14 full papers were carefully reviewed and selected from a total of 38 submissions. The papers are organized in topical sections on: Parallel and Distributed Computing, Big Data, Machine and Deep Learning, Smart Cities and E-Government, Visualization.
Supporting Interactive Visual Analytics For High Dimensional Data Exploration
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Author : Jamal Mohammad Alsakran
language : en
Publisher:
Release Date : 2012
Supporting Interactive Visual Analytics For High Dimensional Data Exploration written by Jamal Mohammad Alsakran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Information visualization categories.
High dimensional data is everywhere in our life and in all sectors of our society: text, image, audio, video, and other. Analyzing such rich data and understanding its behavioral and structural aspects is a fruitful process that will provide us with valuable information and insights, and eventually promote the decision making. Visual analytics significantly enhances the analysis of high dimensional data. It elegantly integrates computational tools with interactive techniques and visual representations to enable human-information discourse. Nevertheless, the high dimensionality and large scale have posed critical challenges for the data analysis and exploration. In this dissertation, we propose a set of visual analytical approaches to promote the understanding of the data. Essentially, the approaches aim to advance the visual analytical capabilities in clutter reduction, dimension management, categorical, and stream data visualization. We propose density distribution map and tile-based parallel coordinates to allow users to investigate the relationship between dimensions. The tools are crafted to reduce visual clutter and highlight data patterns, trends, and anomalies. In addition, they are equipped with interactive features to manipulate the visualization results. An extensive case study in the performance of mutual fund is provided to show the effectiveness of the proposed methods. Categorical data, which contains variables whose values comprise a set of discrete categories, is widely common. The discrete nature often confounds the direct application of existing multidimensional visualization techniques. We propose to use entropy-related measures to enhance the visualization of categorical data. The entropy information is employed to guide the ordering and filtering in parallel sets and scatter plot matrix visualizations. Furthermore, A novel TabularCluster visualization is proposed to depict cluster characteristics and leverage effective examination and comparison. An interactive visualization system, named STREAMIT, that enables users to explore text streams without a prior knowledge is proposed. STREAMIT supports interactive exploration with increased scalability: First, keyword importance is adjustable on-the-fly for desirable clustering effects from varying interests. Second, topic modeling is used to represent the documents with higher level semantic meanings. Third, document clusters are created on the 2D layout to promote better understanding. Case studies and real-world applications are presented to demonstrate the effectiveness of STREAMIT.
Visual Data Exploration And Analysis
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Author :
language : en
Publisher:
Release Date : 1995
Visual Data Exploration And Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Digital computer simulation categories.
Computational Science And Engineering
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Author : Rayner Alfred
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2019-06-10
Computational Science And Engineering written by Rayner Alfred and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-10 with Technology & Engineering categories.
3rd International Conference on Computational Science and Engineering (ICCSE 2018) Selected, peer reviewed papers from the Third International Conference on Computational Science and Engineering (ICCSE2018), August 29-30, 2018, Kota Kinabalu, Sabah, Malaysia
Interaction For Visualization
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Author : Christian Tominski
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2015-06-01
Interaction For Visualization written by Christian Tominski and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-01 with Computers categories.
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.
Learning Tableau 2020
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Author : Joshua N. Milligan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-08-31
Learning Tableau 2020 written by Joshua N. Milligan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-31 with Computers categories.
Publisher's note: This edition from 2020 is outdated and does not make use of the most recent Tableau features. A new fifth edition, updated for Tableau 2022, is now available. Key FeaturesExplore the latest Tableau 2020 features and redefine business analytics for your firmUnderstand visualizing data and creating interactive dashboards to gain meaningful insightsLearn implementing effective data storytelling to redefine how your business leverages data and makes decisionsBook Description Learning Tableau strengthens your command on Tableau fundamentals and builds on advanced topics. The book starts by taking you through foundational principles of Tableau. We then demonstrate various types of connections and how to work with metadata. We teach you to use a wide variety of visualizations to analyze and communicate the data, and introduce you to calculations and parameters. We then take an in-depth look at level of detail (LOD) expressions and use them to solve complex data challenges. Up next, we show table calculations, how to extend and alter default visualizations, build an interactive dashboard, and master the art of telling stories with data. This Tableau book will introduce you to visual statistical analytics capabilities, create different types of visualizations and dynamic dashboards for rich user experiences. We then move on to maps and geospatial visualization, and the new Data Model capabilities introduced in Tableau 2020.2. You will further use Tableau Prep's ability to clean and structure data and share the stories contained in your data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2020 for decision-making. What you will learnDevelop stunning visualizations to explain complex data with clarityExplore exciting new Data Model capabilitiesConnect to various data sources to bring all your data togetherLeverage Tableau Prep Builder's amazing capabilities for data cleaning and structuringCreate and use calculations to solve problems and enrich the analyticsMaster advanced topics such as sets, LOD calculations, and much moreEnable smart decisions with data clustering, distribution, and forecastingShare your data stories to build a culture of trust and actionWho this book is for This Tableau book is for anyone who wants to understand data. If you're new to Tableau, don't worry. This book will simplify Tableau for beginners to build on the foundations to help you understand how Tableau really works and then builds on that knowledge with practical examples before moving on to advanced techniques. Having a bit of background with data will help, but you don't need to know scripting, SQL or database structures.
2000 4th International Conference On Knowledge Based Intelligent Systems
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Author : R. J. Howlett
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 2000
2000 4th International Conference On Knowledge Based Intelligent Systems written by R. J. Howlett and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Technology & Engineering categories.
Expanding The Frontiers Of Visual Analytics And Visualization
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Author : John Dill
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-04-17
Expanding The Frontiers Of Visual Analytics And Visualization written by John Dill and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-17 with Computers categories.
The field of computer graphics combines display hardware, software, and interactive techniques in order to display and interact with data generated by applications. Visualization is concerned with exploring data and information graphically in such a way as to gain information from the data and determine significance. Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces. Expanding the Frontiers of Visual Analytics and Visualization provides a review of the state of the art in computer graphics, visualization, and visual analytics by researchers and developers who are closely involved in pioneering the latest advances in the field. It is a unique presentation of multi-disciplinary aspects in visualization and visual analytics, architecture and displays, augmented reality, the use of color, user interfaces and cognitive aspects, and technology transfer. It provides readers with insights into the latest developments in areas such as new displays and new display processors, new collaboration technologies, the role of visual, multimedia, and multimodal user interfaces, visual analysis at extreme scale, and adaptive visualization.