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007			cr nn 008mamaa
008			230325s2016 sz | s |||| 0|eng d
020			_a9783031026034
024	7		_a10.1007/978-3-031-02603-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.I52 _b2016 EB
100	1		_aEndert, Alex _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687561
245	1	0	_aSemantic Interaction for Visual Analytics : _bInferring Analytical Reasoning for Model Steering _cby Alex Endert
250			_a1st edition 2016
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (IX, 89 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Visualization _x2159-5178
505	0		_aAcknowledgments -- 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			_aThis 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.
988			_aSynthesis Collection of Technology_2016
650		7	_2embne _9145622 _aSistemas de visualización de información
776	0	8	_iPrinted edition: _z9783031014758
776	0	8	_iPrinted edition: _z9783031037313
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02603-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eIG _zSI