A Window-based Approach for Mining Long Duration Event-sequences

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055-059.pdf (1.95 MB)
Date
2020
Authors
Vrotsou, Katerina
Nordman, Aida
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper presents an interactive sequence mining approach for exploring long duration event-sequences and identifying interesting patterns within them. The approach extends previous work on exploratory sequence mining by using a sliding window to split the sequence prior to mining. Patterns are interactively grown and visualized through a tree representation, while a set of accompanying views allows for identified patterns to be explored in the context in which they occur. The approach is motivated and exemplified in the domain of air traffic control and, in particular, air traffic controller training.
Description

        
@inproceedings{
10.2312:eurova.20201087
,
booktitle = {
EuroVis Workshop on Visual Analytics (EuroVA)
},
editor = {
Turkay, Cagatay and Vrotsou, Katerina
},
title = {{
A Window-based Approach for Mining Long Duration Event-sequences
}},
author = {
Vrotsou, Katerina
 and 
Nordman, Aida
},
year = {
2020
},
publisher = {
The Eurographics Association
},
ISSN = {
2664-4487
},
ISBN = {
978-3-03868-116-8
},
DOI = {
10.2312/eurova.20201087
}
}
Citation
URI
https://doi.org/10.2312/eurova.20201087
 https://diglib.eg.org:443/handle/10.2312/eurova20201087
Collections
EuroVA2020