Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Identifying place histories from activity traces with an eye to parameter impact

 
: Adrienko, G.; Adrienko, N.; Mladenov, M.; Mock, M.; Pölitz, C.

:
Preprint urn:nbn:de:0011-n-2069118 (4.1 MByte PDF)
MD5 Fingerprint: 2b7b2ba7fce6e1975ac65f7d322cb422
© 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Created on: 17.1.2013


IEEE transactions on visualization and computer graphics 18 (2012), No.5, pp.675-688
ISSN: 1077-2626
English
Journal Article, Electronic Publication
Fraunhofer IAIS ()
area measurement; data visualization; database; history; time series analysis; visual analytic

Abstract
Events that happened in the past are important for understanding the ongoing processes, predicting future developments, and making informed decisions. Important and/or interesting events tend to attract many people. Some people leave traces of their attendance in the form of computer-processable data, such as records in the databases of mobile phone operators or photos on photo sharing web sites. We developed a suite of visual analytics methods for reconstructing past events from these activity traces. Our tools combine geocomputations, interactive geovisualizations, and statistical methods to enable integrated analysis of the spatial, temporal, and thematic components of the data, including numeric attributes and texts. We also support interactive investigation of the sensitivity of the analysis results to the parameters used in the computations. For this purpose, statistical summaries of computation results obtained with different combinations of parameter values are visualized in a way facilitating comparisons. We demonstrate the utility of our approach on two large real data sets, mobile phone calls in Milano during 9 days and flickr photos made on British Isles during 5 years.

: http://publica.fraunhofer.de/documents/N-206911.html