Modeling Location-Based Profiles of Social Image Media Using Explorative Pattern Mining
F. Lemmerich, and M. Atzmueller. Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom), page 1356 -1363. (2011)
Abstract
This paper presents an approach for modeling location-based profiles of social image media based on tagging information and collaborative geo-reference annotations. We utilize pattern mining techniques for obtaining sets of tags that are specific for the specified point, landmark, or region of interest. Next, we show how these candidate patterns can be presented and visualized for interactive exploration using a combination of general pattern mining visualizations and views specialized on geo-referenced tagging data. We present a case study using publicly available data from the Flickr photo sharing application.
Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom)
%0 Conference Paper
%1 6113308
%A Lemmerich, Florian
%A Atzmueller, Martin
%B Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom)
%D 2011
%K EveryAware based image location media mining modeling pattern profiles social
%P 1356 -1363
%T Modeling Location-Based Profiles of Social Image Media Using Explorative Pattern Mining
%X This paper presents an approach for modeling location-based profiles of social image media based on tagging information and collaborative geo-reference annotations. We utilize pattern mining techniques for obtaining sets of tags that are specific for the specified point, landmark, or region of interest. Next, we show how these candidate patterns can be presented and visualized for interactive exploration using a combination of general pattern mining visualizations and views specialized on geo-referenced tagging data. We present a case study using publicly available data from the Flickr photo sharing application.
@inproceedings{6113308,
abstract = {This paper presents an approach for modeling location-based profiles of social image media based on tagging information and collaborative geo-reference annotations. We utilize pattern mining techniques for obtaining sets of tags that are specific for the specified point, landmark, or region of interest. Next, we show how these candidate patterns can be presented and visualized for interactive exploration using a combination of general pattern mining visualizations and views specialized on geo-referenced tagging data. We present a case study using publicly available data from the Flickr photo sharing application.},
added-at = {2012-09-17T13:21:36.000+0200},
author = {Lemmerich, Florian and Atzmueller, Martin},
biburl = {https://www.bibsonomy.org/bibtex/26158b55064896daf3e7a5d7475fc9623/pietro.gravino},
booktitle = {Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom)},
interhash = {c2b76c00f7f484d6f46b361a9f0336cf},
intrahash = {6158b55064896daf3e7a5d7475fc9623},
keywords = {EveryAware based image location media mining modeling pattern profiles social},
pages = {1356 -1363},
timestamp = {2012-09-17T14:08:46.000+0200},
title = {Modeling Location-Based Profiles of Social Image Media Using Explorative Pattern Mining},
year = 2011
}