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

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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.
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Author Address
Year of Publication
2012
Conference Name
Proceedings of the EuroVis Workshop on Visual Analytics in Vienna, Austria (EuroVA 2012)
Number of Pages
Publisher
Eurographics
Conference Location
Vienna, Austria
ISBN Number
978-3-905673-89-0
Citation Key
URL
http://publik.tuwien.ac.at/files/PubDat_207621.pdf
DOI
10.2312/PE/EuroVAST/EuroVA12/031-035
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