DocumentCode :
119631
Title :
Visual analytics for detecting behaviour patterns in geo-temporal data
Author :
Hundt, Michael ; Siirak, Natascha M. ; Wildnei, Manuel
Author_Institution :
University of Konstanz
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
355
Lastpage :
356
Abstract :
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.
Keywords :
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris, France
Type :
conf
DOI :
10.1109/VAST.2014.7042563
Filename :
7042563
Link To Document :
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