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

Lammarsch, Tim; Rind, Alexander; Aigner, Wolfgang; Miksch, Silvia

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

Files

031-035.pdf (147.57 KB)

Date

2012

Authors

Lammarsch, Tim
Rind, Alexander
Aigner, Wolfgang
Miksch, Silvia

Publisher

The Eurographics Association

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.

        @inproceedings{:10.2312/PE/EuroVAST/EuroVA12/031-035
,
booktitle = {EuroVA 2012: International Workshop on Visual Analytics
},
editor = {Kresimir Matkovic and Giuseppe Santucci
},
title = {{Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time
}},
author = {Lammarsch, Tim and 
Rind, Alexander and 
Aigner, Wolfgang and 
Miksch, Silvia
},
year = {2012
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905673-89-0
},
DOI = {/10.2312/PE/EuroVAST/EuroVA12/031-035
}
}