Integrating Guided Clustering in Visual Analytics to Support Domain Expert Reasoning Processes
| dc.contributor.author | Mathisen, Andreas | en_US |
| dc.contributor.author | Nielsen, Matthias | en_US |
| dc.contributor.author | Grønbæk, Kaj | en_US |
| dc.contributor.editor | Anna Puig Puig and Tobias Isenberg | en_US |
| dc.date.accessioned | 2017-06-12T05:17:53Z | |
| dc.date.available | 2017-06-12T05:17:53Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Recent research shows promise in combining Information Visualization (IV) and Machine Learning (ML) to assist data analysis performed by domain experts. However, this approach presents non-trivial challenges, in particular when the goal is to incorporate knowledge provided by the domain expert in underlying ML algorithms. To address these challenges, we present an analytical process and a visual analytics tool that uses visual queries to capture examples from the domain experts' existing reasoning process which will guide the subsequent clustering. Our work is motivated by a collaboration with personnel at the Danish Business Authority, who are interested in two types of insights: (1) On which data dimensions is a selected subset of companies different from the remaining companies? (2) Which other companies lie within the same multi-dimensional subspace? The poster will illustrate a real analysis scenario, where the presented analytic process allows auditors to use their knowledge of identified "suspicious" companies to kick-start the analysis for others. | en_US |
| dc.description.sectionheaders | Posters | |
| dc.description.seriesinformation | EuroVis 2017 - Posters | |
| dc.identifier.doi | 10.2312/eurp.20171164 | |
| dc.identifier.isbn | 978-3-03868-044-4 | |
| dc.identifier.pages | 41-43 | |
| dc.identifier.uri | https://doi.org/10.2312/eurp.20171164 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/eurp20171164 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Integrating Guided Clustering in Visual Analytics to Support Domain Expert Reasoning Processes | en_US |