| 000 | 06157nam a2200649 i 4500 | ||
|---|---|---|---|
| 001 | 7571257 | ||
| 003 | IEEE | ||
| 005 | 20200413152922.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 160918s2016 caua foab 000 0 eng d | ||
| 020 |
_a9781627052917 _qebook |
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| 020 |
_z9781627054713 _qprint |
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| 024 | 7 |
_a10.2200/S00730ED1V01Y201608VIS007 _2doi |
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| 035 | _a(CaBNVSL)swl00406842 | ||
| 035 | _a(OCoLC)958587129 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aQA76.9.I52 _bE538 2016 |
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| 082 | 0 | 4 |
_a001.4226 _223 |
| 100 | 1 |
_aEndert, Alex., _eauthor. |
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| 245 | 1 | 0 |
_aSemantic interaction for visual analytics : _binferring analytical reasoning for model steering / _cAlex Endert. |
| 264 | 1 |
_a[San Rafael, California] : _bMorgan & Claypool, _c2016. |
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| 300 |
_a1 PDF (ix, 89 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aSynthesis lectures on visualization, _x2159-5178 ; _v# 7 |
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| 538 | _aMode of access: World Wide Web. | ||
| 538 | _aSystem requirements: Adobe Acrobat Reader. | ||
| 500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
| 504 | _aIncludes bibliographical references (pages 79-87). | ||
| 505 | 0 | _a1. Introduction -- 1.1 The role of visual analytics in a data-driven era -- 1.2 Semantic interaction -- 1.3 Outline -- | |
| 505 | 8 | _a2. Fundamentals -- 2.1 Sensemaking and analytical reasoning -- 2.2 The use of analytic models in visual analytics -- 2.3 User interaction -- 2.3.1 Modeling user interest from user interaction -- 2.4 Model steering -- 2.5 Mixed-initiative system principles -- | |
| 505 | 8 | _a3. Spatializations for sensemaking using visual analytics -- 3.1 The value of manually organizing data in spatializations -- 3.2 Computationally generating spatializations -- | |
| 505 | 8 | _a4. Semantic interaction -- 4.1 Designing for semantic interaction -- 4.1.1 Capturing the semantic interaction -- 4.1.2 Interpreting the associated analytical reasoning -- 4.1.3 Updating the underlying model -- 4.2 Exploring the semantic interaction design space -- 4.2.1 The interaction-feedback loop -- 4.2.2 Approximating and modeling user interest -- 4.2.3 Choice of mathematical model -- 4.2.4 Relative and absolute spatial adjustments -- | |
| 505 | 8 | _a5. Applications that integrate semantic interaction -- 5.1 ForceSPIRE: semantic interaction for spatializations of text corpora -- 5.1.1 Constructing the spatial metaphor -- 5.1.2 Semantic interaction in ForceSPIRE -- 5.1.3 Model updates -- 5.2 Semantic interaction for dimension reduction models -- 5.2.1 Probabilistic principal component analysis (PPCA) -- 5.2.2 Multi-dimensional scaling (MDS) -- 5.2.3 Generative topographic mapping (GTM) -- 5.2.4 InterAxis: steering scatterplot axes -- | |
| 505 | 8 | _a6. Evaluating semantic interaction -- 6.1 Methodology considerations -- 6.1.1 Evaluation of analytic process -- 6.1.2 Evaluation of analytic product -- 6.2 Example: evaluating semantic interaction in ForceSPIRE -- 6.2.1 Method -- 6.2.2 Results -- | |
| 505 | 8 | _a7. Discussion and open challenges -- 7.1 User interaction for visual analytics -- 7.2 Effects of semantic interaction on analytic process -- 7.3 Differentiating bias from intuition -- 7.4 Additional visual representations and interactions -- | |
| 505 | 8 | _a8. Conclusion -- References -- Author's biography. | |
| 506 | 1 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | |
| 510 | 0 | _aCompendex | |
| 510 | 0 | _aINSPEC | |
| 510 | 0 | _aGoogle scholar | |
| 510 | 0 | _aGoogle book search | |
| 520 | 3 | _aUser interaction in visual analytic 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. This book discusses a user interaction methodology for visual analytic applications that more closely couples the visual reasoning processes of people with the computation. The methodology, called semantic interaction, affords user interaction on visual data representations that are native to the domain of the data. These interactions are the basis for refining and updating mathematical models that approximate the tasks, intents, and domain expertise of the user. In turn, this process allows model steering without requiring expertise in the models themselves.instead leveraging the domain expertise of the user. Semantic interaction performs incremental model learning to enable synergy between the user's insights and the mathematical model. The contributions of this work are organized by providing 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 techniques. 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 analytic systems. | |
| 530 | _aAlso available in print. | ||
| 588 | _aTitle from PDF title page (viewed on September 18, 2016). | ||
| 650 | 0 | _aVisual analytics. | |
| 653 | _auser interaction | ||
| 653 | _avisual analytics | ||
| 653 | _amodel steering | ||
| 653 | _avisualization | ||
| 776 | 0 | 8 |
_iPrint version: _z9781627054713 |
| 830 | 0 | _aSynthesis digital library of engineering and computer science. | |
| 830 | 0 |
_aSynthesis lectures on visualization ; _v# 7. _x2159-5178 |
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| 856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=7571257 |
| 999 |
_c562227 _d562227 |
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