Titlebook: Semantic Interaction for Visual Analytics; Inferring Analytical Alex Endert Book 2016 Springer Nature Switzerland AG 2016

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Evaluating Semantic Interaction,s for exploratory data analysis, performing model steering on behalf of the user. However, evaluating the effectiveness and accuracy of semantic interaction can be challenging. In addition to visual analytic applications providing users the ability to discover insights about the data, evaluating sem

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Discussion and Open Challenges,loped that provide evidence that this form of user interaction provides utility through new forms of people interacting with analytic models. Further, user studies have shown the benefit of semantic interaction, in that people can inject domain expertise into the analytic models to help drive the co

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Conclusion,hniques are being created and improved upon at an impressive rate. Increasingly people look to data as a means to describe or understand specific phenomena. Visual analytics can provide people with such capabilities, creating insights into new domains and areas where data is becoming available. Howe

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Fundamentals,ating that analytical reasoning can be computed from user interaction logs. Finally, the concepts of model steering and mixed-initiative systems are introduced. The content in this section is not intended to be complete surveys or summaries of the existing work, yet serve to ground the discussion of semantic interaction in the subsequent chapters.

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Semantic Interaction,on of the model results, and the user feedback that is incorporated into the computation. Semantic interaction uses the visual metaphor as a bi-direction medium through which people can analytic models can communicate and collaborate about data [105].

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2159-516X isual 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 fr

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