Progressive Parameter Space Visualization for Task-Driven SAX Configuration
dc.contributor.author | Loeschcke, Sebastian | en_US |
dc.contributor.author | Hogräfer, Marius | en_US |
dc.contributor.author | Schulz, Hans-Jörg | en_US |
dc.contributor.editor | Turkay, Cagatay and Vrotsou, Katerina | en_US |
dc.date.accessioned | 2020-05-24T13:31:30Z | |
dc.date.available | 2020-05-24T13:31:30Z | |
dc.date.issued | 2020 | |
dc.description.abstract | As time series datasets are growing in size, data reduction approaches like PAA and SAX are used to keep them storable and analyzable. Yet, finding the right trade-off between data reduction and remaining utility of the data is a challenging problem. So far, it is either done in a user-driven way and offloaded to the analyst, or it is determined in a purely data-driven, automated way. None of these approaches take the analytic task to be performed on the reduced data into account. Hence, we propose a task-driven parametrization of PAA and SAX through a parameter space visualization that shows the difference of progressively running a given analytic computation on the original and on the reduced data for a representative set of data samples. We illustrate our approach in the context of climate analysis on weather data and exoplanet detection on light curve data. | en_US |
dc.description.sectionheaders | Visual Analysis of High Dimensional and Temporal Data | |
dc.description.seriesinformation | EuroVis Workshop on Visual Analytics (EuroVA) | |
dc.identifier.doi | 10.2312/eurova.20201085 | |
dc.identifier.isbn | 978-3-03868-116-8 | |
dc.identifier.issn | 2664-4487 | |
dc.identifier.pages | 43-47 | |
dc.identifier.uri | https://doi.org/10.2312/eurova.20201085 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/eurova20201085 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | ] |
dc.subject | Human centered computing | |
dc.subject | Visual analytics | |
dc.subject | Applied computing | |
dc.subject | Astronomy | |
dc.subject | Environmental sciences | |
dc.title | Progressive Parameter Space Visualization for Task-Driven SAX Configuration | en_US |
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