Semantic Interaction for Visual Analytics (Record no. 85205)
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000 -LEADER | |
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fixed length control field | 03639nam a22005175i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-02603-4 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730164012.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220601s2016 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031026034 |
-- | 978-3-031-02603-4 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 001.4226 |
100 1# - AUTHOR NAME | |
Author | Endert, Alex. |
245 10 - TITLE STATEMENT | |
Title | Semantic Interaction for Visual Analytics |
Sub Title | Inferring Analytical Reasoning for Model Steering / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2016. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | IX, 89 p. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Visualization, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Acknowledgments -- Introduction -- Fundamentals -- Spatializations for Sensemaking Using Visual Analytics -- Semantic Interaction -- Applications that Integrate Semantic Interaction -- Evaluating Semantic Interaction -- Discussion and Open Challenges -- Conclusion -- References -- Author's Biography. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book 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. User interaction in visual analytics systems is critical to enabling visual data exploration. Interaction transforms people from mere viewers to active participants in the process of analyzing and understanding data. This discourse between people and data enables people to understand aspects of their data, such as structure, patterns, trends, outliers, and other properties that ultimately result in insight. Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis. The book provides a description of the principles of semantic interaction, providing design guidelines for the integration of semantic interaction into visual analytics, examples of existing technologies that leverage semantic interaction, and a discussion of how to evaluate these technologies. Semantic interaction has the potential to increase the effectiveness of visual analytic technologies and opens possibilities for a fundamentally new design space for user interaction in visual analytics systems. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-02603-4 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2016. |
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-- | txt |
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337 ## - | |
-- | computer |
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338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information visualization. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data structures (Computer science). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information theory. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data mining. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data and Information Visualization. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Structures and Information Theory. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Mining and Knowledge Discovery. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2159-5178 |
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-- | ZDB-2-SXSC |
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