Semantic Interaction for Visual Analytics (Record no. 85205)

000 -LEADER
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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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- 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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