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

TitleDeveloping an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time
Publication TypeConference Paper
Year of Publication2012
AuthorsLammarsch, T., A. Rind, W. Aigner, and S. Miksch
EditorsMatkovic, K., and G. Santucci
Conference NameProceedings of the EuroVis Workshop on Visual Analytics in Vienna, Austria (EuroVA 2012)
Pages31-35
PublisherEurographics
Conference LocationVienna, Austria
ISBN Number978-3-905673-89-0
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.

Notes

URLhttp://publik.tuwien.ac.at/files/PubDat_207621.pdf
DOI10.2312/PE/EuroVAST/EuroVA12/031-035
Full Text
Funding projects: 
CVAST
Funding projects: 
HypoVis