Data Visualization 2001

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Interactive Data Visualization

Author : Matthew O. Ward,Georges Grinstein,Daniel Keim
Publisher : CRC Press
Page : 578 pages
File Size : 40,5 Mb
Release : 2015-06-11
Category : Computers
ISBN : 9781482257380

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Interactive Data Visualization by Matthew O. Ward,Georges Grinstein,Daniel Keim Pdf

An Updated Guide to the Visualization of Data for Designers, Users, and Researchers Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. In color throughout, it explains basic terminology and concepts, algorithmic and software engineering issues, and commonly used techniques and high-level algorithms. Full source code is provided for completing implementations. New to the Second Edition New related readings, exercises, and programming projects Better quality figures and numerous new figures New chapter on techniques for time-oriented data This popular book continues to explore the fundamental components of the visualization process, from the data to the human viewer. For developers, the book offers guidance on designing effective visualizations using methods derived from human perception, graphical design, art, and usability analysis. For practitioners, it shows how various public and commercial visualization systems are used to solve specific problems in diverse domains. For researchers, the text describes emerging technology and hot topics in development at academic and industrial centers today. Each chapter presents several types of exercises, including review questions and problems that motivate readers to build on the material covered and design alternate approaches to solving a problem. In addition, programming projects encourage readers to perform a range of tasks, from the simple implementation of algorithms to the extension of algorithms and programming techniques. Web Resource A supplementary website includes downloadable software tools and example data sets, enabling hands-on experience with the techniques covered in the text. The site also offers links to useful data repositories and data file formats, an up-to-date listing of software packages and vendors, and instructional tools, such as reading lists, lecture slides, and demonstration programs.

The Visual Display of Quantitative Information

Author : Edward R. Tufte
Publisher : Unknown
Page : 197 pages
File Size : 48,9 Mb
Release : 2001-01-01
Category : Mathematics
ISBN : 0961392142

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The Visual Display of Quantitative Information by Edward R. Tufte Pdf

Graphical practice. Theory of data graphics.

Data Visualization 2001

Author : D. Ebert,J.M. Favre,R. Peikert
Publisher : Springer Science & Business Media
Page : 370 pages
File Size : 42,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783709162156

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Data Visualization 2001 by D. Ebert,J.M. Favre,R. Peikert Pdf

This book contains 33 papers presented at the Third Joint Visualization Symposium of the Eurographics Association and the Technical Committee on Visualization and Graphics of the IEEE Computer Society. The main topics treated are: visualization of geoscience data; multi-resolution and adaptive techniques; unstructured data, multi-scale and visibility; flow visualization; biomedical applications; information visualization; object representation; volume rendering; information visualization applications; and automotive applications.

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration

Author : Torsten Möller,Bernd Hamann,Robert D. Russell
Publisher : Springer Science & Business Media
Page : 348 pages
File Size : 46,8 Mb
Release : 2009-06-12
Category : Computers
ISBN : 9783540499268

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Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration by Torsten Möller,Bernd Hamann,Robert D. Russell Pdf

The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and incre- ingly common environment-embedded sensors are the primary generators of m- sive data sets. Being able to derive scienti?c insight from data increasingly depends on having mathematical and perceptual models to provide the necessary foundation for effective data analysis and comprehension. The peer-reviewed state-of-the-art research papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling. From the viewpoint of a visualization scientist, we typically collaborate with an application scientist or engineer who needs to visually explore or study an object which is given by a set of sample points, which originally may or may not have been connected by a mesh. At some point, one generally employs low-order piecewise polynomial approximationsof an object, using one or several dependent functions. In order to have an understanding of a higher-dimensional geometrical “object” or function, ef?cient algorithms supporting real-time analysis and manipulation (- tation, zooming) are needed. Often, the data represents 3D or even time-varying 3D phenomena (such as medical data), and the access to different layers (slices) and structures (the underlying topology) comprising such data is needed.

Information Visualization in Data Mining and Knowledge Discovery

Author : Usama M. Fayyad,Georges G. Grinstein,Andreas Wierse
Publisher : Morgan Kaufmann
Page : 446 pages
File Size : 40,6 Mb
Release : 2002
Category : Computers
ISBN : 1558606890

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Information Visualization in Data Mining and Knowledge Discovery by Usama M. Fayyad,Georges G. Grinstein,Andreas Wierse Pdf

This text surveys research from the fields of data mining and information visualisation and presents a case for techniques by which information visualisation can be used to uncover real knowledge hidden away in large databases.

Data Mining

Author : John Wang
Publisher : IGI Global
Page : 496 pages
File Size : 41,5 Mb
Release : 2003-01-01
Category : Computers
ISBN : 1931777837

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Data Mining by John Wang Pdf

"An overview of the multidisciplinary field of data mining, this book focuses specifically on new methodologies and case studies. Included are case studies written by 44 leading scientists and talented young scholars from seven different countries. Topics covered include data mining based on rough sets, the impact of missing data, and mining free text for structure. In addition, the four basic mining operations supported by numerous mining techniques are addressed: predictive model creation supported by supervised induction techniques; link analysis supported by association discovery and sequence discovery techniques; DB segmentation supported by clustering techniques; and deviation detection supported by statistical techniques."

Data Mining and Data Visualization

Author : Anonim
Publisher : Elsevier
Page : 660 pages
File Size : 43,8 Mb
Release : 2005-05-02
Category : Mathematics
ISBN : 9780080459400

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Data Mining and Data Visualization by Anonim Pdf

Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights

Multidimensional Data Visualization

Author : Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas
Publisher : Springer Science & Business Media
Page : 262 pages
File Size : 51,8 Mb
Release : 2012-11-08
Category : Mathematics
ISBN : 9781441902368

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Multidimensional Data Visualization by Gintautas Dzemyda,Olga Kurasova,Julius Žilinskas Pdf

This book highlights recent developments in multidimensional data visualization, presenting both new methods and modifications on classic techniques. Throughout the book, various applications of multidimensional data visualization are presented including its uses in social sciences (economy, education, politics, psychology), environmetrics, and medicine (ophthalmology, sport medicine, pharmacology, sleep medicine). The book provides recent research results in optimization-based visualization. Evolutionary algorithms and a two-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of these algorithms and the development of parallel versions are discussed. The utilization of new visualization techniques to improve the capabilies of artificial neural networks (self-organizing maps, feed-forward networks) is also discussed. The book includes over 100 detailed images presenting examples of the many different visualization techniques that the book presents. This book is intended for scientists and researchers in any field of study where complex and multidimensional data must be represented visually.

Visualization Handbook

Author : Charles D. Hansen,Chris R. Johnson
Publisher : Elsevier
Page : 984 pages
File Size : 46,8 Mb
Release : 2011-08-30
Category : Technology & Engineering
ISBN : 9780080481647

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Visualization Handbook by Charles D. Hansen,Chris R. Johnson Pdf

The Visualization Handbook provides an overview of the field of visualization by presenting the basic concepts, providing a snapshot of current visualization software systems, and examining research topics that are advancing the field. This text is intended for a broad audience, including not only the visualization expert seeking advanced methods to solve a particular problem, but also the novice looking for general background information on visualization topics. The largest collection of state-of-the-art visualization research yet gathered in a single volume, this book includes articles by a “who’s who of international scientific visualization researchers covering every aspect of the discipline, including: · Virtual environments for visualization · Basic visualization algorithms · Large-scale data visualization · Scalar data isosurface methods · Visualization software and frameworks · Scalar data volume rendering · Perceptual issues in visualization · Various application topics, including information visualization. * Edited by two of the best known people in the world on the subject; chapter authors are authoritative experts in their own fields; * Covers a wide range of topics, in 47 chapters, representing the state-of-the-art of scientific visualization.

Encyclopedia of Data Warehousing and Mining

Author : Wang, John
Publisher : IGI Global
Page : 1382 pages
File Size : 52,8 Mb
Release : 2005-06-30
Category : Computers
ISBN : 9781591405597

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Encyclopedia of Data Warehousing and Mining by Wang, John Pdf

Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Author : Wang, John
Publisher : IGI Global
Page : 4092 pages
File Size : 53,6 Mb
Release : 2008-05-31
Category : Technology & Engineering
ISBN : 9781599049526

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Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications by Wang, John Pdf

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Info We Trust

Author : RJ Andrews
Publisher : John Wiley & Sons
Page : 361 pages
File Size : 55,5 Mb
Release : 2019-01-03
Category : Computers
ISBN : 9781119483908

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Info We Trust by RJ Andrews Pdf

How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing. Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts — but must push further than dry defaults to be truly effective. How do we attract attention? How can we offer audiences valuable experiences worth their time? How can we help people access complexity? Dark and mysterious, but full of potential, data is the raw material from which new understanding can emerge. Become a hero of the information age as you learn how to dip into the chaos of data and emerge with new understanding that can entertain, improve, and inspire. Whether you call the craft data storytelling, data visualization, data journalism, dashboard design, or infographic creation — what matters is that you are courageously confronting the chaos of it all in order to improve how people see the world. Info We Trust is written for everyone who straddles the domains of data and people: data visualization professionals, analysts, and all who are enthusiastic for seeing the world in new ways. This book draws from the entirety of human experience, quantitative and poetic. It teaches advanced techniques, such as visual metaphor and data transformations, in order to create more human presentations of data. It also shows how we can learn from print advertising, engineering, museum curation, and mythology archetypes. This human-centered approach works with machines to design information for people. Advance your understanding beyond by learning from a broad tradition of putting things “in formation” to create new and wonderful ways of opening our eyes to the world. Info We Trust takes a thoroughly original point of attack on the art of informing. It builds on decades of best practices and adds the creative enthusiasm of a world-class data storyteller. Info We Trust is lavishly illustrated with hundreds of original compositions designed to illuminate the craft, delight the reader, and inspire a generation of data storytellers.

Advances in Visual Computing

Author : George Bebis,Richard Boyle,Bahram Parvin,Darko Koracin,Daniela Ushizima,Sek Chai,Shinjiro Sueda,Xin Lin,Aidong Lu,Daniel Thalmann,Chaoli Wang,Panpan Xu
Publisher : Springer Nature
Page : 718 pages
File Size : 54,6 Mb
Release : 2019-10-25
Category : Computers
ISBN : 9783030337209

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Advances in Visual Computing by George Bebis,Richard Boyle,Bahram Parvin,Darko Koracin,Daniela Ushizima,Sek Chai,Shinjiro Sueda,Xin Lin,Aidong Lu,Daniel Thalmann,Chaoli Wang,Panpan Xu Pdf

This book constitutes the refereed proceedings of the 14th International Symposium on Visual Computing, ISVC 2019, held in Lake Tahoe, NV, USA in October 2019. The 100 papers presented in this double volume were carefully reviewed and selected from 163 submissions. The papers are organized into the following topical sections: Deep Learning I; Computer Graphics I; Segmentation/Recognition; Video Analysis and Event Recognition; Visualization; ST: Computational Vision, AI and Mathematical methods for Biomedical and Biological Image Analysis; Biometrics; Virtual Reality I; Applications I; ST: Vision for Remote Sensing and Infrastructure Inspection; Computer Graphics II; Applications II; Deep Learning II; Virtual Reality II; Object Recognition/Detection/Categorization; and Poster.

Better Data Visualizations

Author : Jonathan Schwabish
Publisher : Columbia University Press
Page : 464 pages
File Size : 47,8 Mb
Release : 2021-02-09
Category : Computers
ISBN : 9780231550154

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Better Data Visualizations by Jonathan Schwabish Pdf

Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message.

Vision, Modeling, and Visualization 2002

Author : Günther Greiner
Publisher : IOS Press
Page : 548 pages
File Size : 53,5 Mb
Release : 2002
Category : Diagnostic imaging
ISBN : 3898380343

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Vision, Modeling, and Visualization 2002 by Günther Greiner Pdf