Visual analytics for detecting behaviour patterns in geo-temporal data

Today raw data get more complex and are obtained from different sources. In this paper, the data sources evaluated are GPS tracks of thirty five cards and purchase records of fifty four persons over a time span of two weeks. Additionally, a map and more background information has been provided. Visu...

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Bibliographic Details
Published in:	2014 IEEE Conference on Visual Analytics Science and Technology (VAST) pp. 355 - 356
Main Authors:	Hundt, Michael, Siirak, Natascha M., Wildnei, Manuel
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2014
Subjects:	Automobiles Companies Data visualization H. 1.2 [User/Machine Systems]: Human information processing H.2.8 [Database Applications]: Data Mining - Spatial databases and GIS H.3.3 [Information Search and Retrieval]: Information filtering Heating Spatial databases Visual analytics
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Summary:	Today raw data get more complex and are obtained from different sources. In this paper, the data sources evaluated are GPS tracks of thirty five cards and purchase records of fifty four persons over a time span of two weeks. Additionally, a map and more background information has been provided. Visual Analytics is indispensable for event- and pattern-recognition and the understanding of as well as getting a sense for spatial properties. This paper describes a journey from dealing with geo-temporal data over creating a data foundation for further means to an exploration tool that enables every user to access the data in an interactive, fast and non-exhausting way.
DOI:	10.1109/VAST.2014.7042563