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@inproceedings\{matkovic-2010-eventlineview,
title = "Event Line View: Interactive Visual Analysis of Irregular
Time-dependent Data",
author = "Kresimir Matkovic and Andreas Ammer and Denis Gracanin and
Werner Purgathofer and Alan Lez",
year = "2010",
abstract = "In this paper we present a novel approach to visualize ir-
regularly occurring events. We introduce the event line view
designed speci¯cally for such events data (a subset of time
dependent data). The event line view is integrated in a
coordinated multiple views (CMV) system and linked with
other conventional views to support interactive visual
analysis. The main idea is to analyze events relative to two
cat- egorical attributes from a multidimensional
multivariate dataset. Since we are interested in the
categorical dimension we have also integrated and linked the
tag cloud view in the CMV system. To the best of our
knowledge this is the ¯rst integration of the tag cloud
view in a CMV system. The tag cloud view can depict a ratio
of the selected items versus the non-selected items. The
proposed approach is illustrated using the VAST Challenge
2008 Geo-Spatial data set that contains data on interdiction
or landing of ille- gal immigrants in the USA. It is a
multivariate multidimensional dataset with irregular events
that illustrates the potential and capabilities of the
proposed approach and the developed CMV system.",
pages = "%pages_from%--%pages_to%",
month = jun,
booktitle = "Smart Graphics 2010",
publisher = "Springer",
location = "Banff, Canada",
keywords = "Interactive Visual Analysis, Coordinated Multiple Views, Tag
Cloud, Events in Time",
URL = "http://www.cg.tuwien.ac.at/research/publications/2010/matkovic-2010-eventlineview/",
}
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