Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time

dc.contributor.authorLammarsch, Timen_US
dc.contributor.authorRind, Alexanderen_US
dc.contributor.authorAigner, Wolfgangen_US
dc.contributor.authorMiksch, Silviaen_US
dc.contributor.editorKresimir Matkovic and Giuseppe Santuccien_US
dc.date.accessioned2013-11-08T10:21:28Z
dc.date.available2013-11-08T10:21:28Z
dc.date.issued2012en_US
dc.description.abstractExploratory 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.seriesinformationEuroVA 2012: International Workshop on Visual Analyticsen_US
dc.identifier.isbn978-3-905673-89-0en_US
dc.identifier.urihttps://doi.org/10.2312/PE/EuroVAST/EuroVA12/031-035en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Information Systems [H.1.1]: Models and Principles-Systems and Information Theory; Computing Methodologies [I.m]: Miscellaneousen_US
dc.titleDeveloping an Extended Task Framework for Exploratory Data Analysis Along the Structure of Timeen_US
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