Subgroup Analytics and Interactive Assessment on Ubiquitous Data
M. Atzmueller, and J. Mueller. Mining Ubiquitous and Social Environments Workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD 2013, Prague, Czech Republic -- September 23-27, 2013. Proceedings, Berling / Heidelberg, Germany, Springer, (2013)accepted for publication.
Abstract
This paper applies subgroup discovery for obtaining interesting descriptive
patterns in ubiquitous data. Furthermore, we provide a novel graph-based
analysis approach for assessing the relations between the obtained
subgroup set, and for ranking subgroups according to their relationships
to other subgroups. We present and discuss first results utilizing
real-world data, given by noise measurements with associated subjective
perceptions and a set of tags describing the semantic context.
Mining Ubiquitous and Social Environments Workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD 2013, Prague, Czech Republic -- September 23-27, 2013. Proceedings
%0 Conference Paper
%1 mueller-2013c
%A Atzmueller, Martin
%A Mueller, Juergen
%B Mining Ubiquitous and Social Environments Workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD 2013, Prague, Czech Republic -- September 23-27, 2013. Proceedings
%C Berling / Heidelberg, Germany
%D 2013
%I Springer
%K everyaware inproceedings springer
%T Subgroup Analytics and Interactive Assessment on Ubiquitous Data
%U http://www.kde.cs.uni-kassel.de/ws/muse2013/proceedings.pdf#27
%X This paper applies subgroup discovery for obtaining interesting descriptive
patterns in ubiquitous data. Furthermore, we provide a novel graph-based
analysis approach for assessing the relations between the obtained
subgroup set, and for ranking subgroups according to their relationships
to other subgroups. We present and discuss first results utilizing
real-world data, given by noise measurements with associated subjective
perceptions and a set of tags describing the semantic context.
@inproceedings{mueller-2013c,
abstract = {This paper applies subgroup discovery for obtaining interesting descriptive
patterns in ubiquitous data. Furthermore, we provide a novel graph-based
analysis approach for assessing the relations between the obtained
subgroup set, and for ranking subgroups according to their relationships
to other subgroups. We present and discuss first results utilizing
real-world data, given by noise measurements with associated subjective
perceptions and a set of tags describing the semantic context.},
added-at = {2013-09-12T13:15:36.000+0200},
address = {Berling / Heidelberg, Germany},
author = {Atzmueller, Martin and Mueller, Juergen},
biburl = {https://www.bibsonomy.org/bibtex/272d80f820d7cd8bc00469bc5ea3ed534/everyaware_bib},
booktitle = {Mining Ubiquitous and Social Environments Workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD 2013, Prague, Czech Republic -- September 23-27, 2013. Proceedings},
interhash = {339aa18b5a6047ea4005f6c6a48b9bb6},
intrahash = {72d80f820d7cd8bc00469bc5ea3ed534},
keywords = {everyaware inproceedings springer},
note = {accepted for publication},
publisher = {Springer},
timestamp = {2014-05-13T17:36:00.000+0200},
title = {Subgroup Analytics and Interactive Assessment on Ubiquitous Data},
url = {http://www.kde.cs.uni-kassel.de/ws/muse2013/proceedings.pdf#27},
year = 2013
}