Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time
| dc.contributor.author | Lammarsch, Tim | en_US |
| dc.contributor.author | Rind, Alexander | en_US |
| dc.contributor.author | Aigner, Wolfgang | en_US |
| dc.contributor.author | Miksch, Silvia | en_US |
| dc.contributor.editor | Kresimir Matkovic and Giuseppe Santucci | en_US |
| dc.date.accessioned | 2013-11-08T10:21:28Z | |
| dc.date.available | 2013-11-08T10:21:28Z | |
| dc.date.issued | 2012 | en_US |
| dc.description.abstract | Exploratory data analysis of time-oriented data is an important goal that Visual Analytics has to tackle. When users from real-world domains are asked about time-oriented tasks, they often refer to the unique structure of time (e.g., calendars, primitives, etc.). Several task frameworks have been developed, but none of them combines a complete, systematic approach with explicit attention to the structure of time. To fill this gap, we aim for complementing an established task framework with a rule set that explicitly models the structure of time for tasks. This rule set allows to consistently formulate tasks for evaluating time-oriented data analysis methods. | en_US |
| dc.description.seriesinformation | EuroVA 2012: International Workshop on Visual Analytics | en_US |
| dc.identifier.isbn | 978-3-905673-89-0 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/PE/EuroVAST/EuroVA12/031-035 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Categories and Subject Descriptors (according to ACM CCS): Information Systems [H.1.1]: Models and Principles-Systems and Information Theory; Computing Methodologies [I.m]: Miscellaneous | en_US |
| dc.title | Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time | en_US |
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