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The term Visual Analytics has been around for almost five years by now, but still there are on-going discussions about what it actually is and in particular what is new about it. The core of our view on Visual Analytics is the new enabling and accessible analytic reasoning interactions supported by the combination of automated and visual analysis.
Oliver Deussen +2 more
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A Theoretical Approach for Structuring and Analysing Knowledge Provenance for Visual Analytics [PDF]
The primary goal of Visual Analytics (VA) is to enable user-guided knowledge generation. Theoretical VA works to explain how the different aspects of a VA tool bring forth new insights through user interactivity, which itself can be captured through ...
V. Paulovich, Fernando; id_orcid +6 more
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HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques [PDF]
Despite the tremendous advances in machine learning (ML), training with imbalanced data still poses challenges in many real-world applications. Among a series of diverse techniques to solve this problem, sampling algorithms are regarded as an efficient ...
Paulovich, F. V, +13 more
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An overview of interactive visual data mining techniques for knowledge discovery [PDF]
n the past decade, the analysis of data has faced the challenge of dealing with very large and complex datasets and the real-time generation of data. Technologies to store and access these complex and large datasets are in place.
Gaber, Mohamed Medhat +11 more
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Pair Analytics in a Visual Analytics Context
This case study details the development of “pair analytics” as practical approach to applied analysis and as a scientific research method. The hybrid research project itself was part of a larger research program approved for the Canadian government for their offset program and supported by Federal and Provincial research internships.
Brian Fisher 0001, David J. Kasik
openaire +3 more sources
Pair Analytics: Capturing Reasoning Processes in Collaborative Visual Analytics [PDF]
Studying how humans interact with abstract, visual representations of massive amounts of data provides knowledge about how cognition works in visual analytics.
Kaastra, L. +7 more
core +1 more source
Customizable Coordination of Independent Visual Analytics Tools
5 S.While it is common to use multiple independent analysis tools in combination, it is still cumbersome to carry out a cross-tool visual analysis. Some dedicated frameworks addressing this issue exist, yet in order to use them, a Visual Analytics tool ...
Schulz, Hans-Jörg +4 more
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S.7-18Visual analytics is not easy to define, due to its multi-disciplinary nature involving multiple processes and the wide variety of application areas.
Mansmann, Florian +4 more
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Towards an Uncertainty-Aware Visualization in the Digital Humanities
As visualization becomes widespread in a broad range of cross-disciplinary academic domains, such as the digital humanities (DH), critical voices have been raised on the perils of neglecting the uncertain character of data in the visualization design ...
Roberto Therón Sánchez +3 more
doaj +1 more source
Visual Analytics (VA) tools provide ways for users to harness insights and knowledge from datasets. Recalling and retelling user experiences while utilizing VA tools has attracted significant interest. Nevertheless, each user sessions are unique.
V. Paulovich, Fernando; id_orcid +4 more
core +1 more source

