M. Atzmueller, J. Mueller, and M. Becker. Mining, Modeling, and Recommending 'Things' in Social Media, page 1--20. Cham, Springer International Publishing, (2015)
Abstract
This paper presents exploratory subgroup analytics on ubiquitous data: We propose subgroup discovery and assessment approaches for obtaining interesting descriptive patterns and provide a novel graph-based analysis approach for assessing the relations between the obtained subgroup set. This exploratory visualization approaches allows for the comparison of subgroups according to their relations to other subgroups and to include further parameters, e.g., geo-spatial distribution indicators. We present and discuss analysis results utilizing real-world data given by geo-tagged noise measurements with associated subjective perceptions and a set of tags describing the semantic context.
Description
Exploratory Subgroup Analytics on Ubiquitous Data | SpringerLink
%0 Conference Paper
%1 atzmueller2015exploratory
%A Atzmueller, Martin
%A Mueller, Juergen
%A Becker, Martin
%B Mining, Modeling, and Recommending 'Things' in Social Media
%C Cham
%D 2015
%E Atzmueller, Martin
%E Chin, Alvin
%E Scholz, Christoph
%E Trattner, Christoph
%I Springer International Publishing
%K data myown subgroup ubiquitous
%P 1--20
%T Exploratory Subgroup Analytics on Ubiquitous Data
%X This paper presents exploratory subgroup analytics on ubiquitous data: We propose subgroup discovery and assessment approaches for obtaining interesting descriptive patterns and provide a novel graph-based analysis approach for assessing the relations between the obtained subgroup set. This exploratory visualization approaches allows for the comparison of subgroups according to their relations to other subgroups and to include further parameters, e.g., geo-spatial distribution indicators. We present and discuss analysis results utilizing real-world data given by geo-tagged noise measurements with associated subjective perceptions and a set of tags describing the semantic context.
%@ 978-3-319-14723-9
@inproceedings{atzmueller2015exploratory,
abstract = {This paper presents exploratory subgroup analytics on ubiquitous data: We propose subgroup discovery and assessment approaches for obtaining interesting descriptive patterns and provide a novel graph-based analysis approach for assessing the relations between the obtained subgroup set. This exploratory visualization approaches allows for the comparison of subgroups according to their relations to other subgroups and to include further parameters, e.g., geo-spatial distribution indicators. We present and discuss analysis results utilizing real-world data given by geo-tagged noise measurements with associated subjective perceptions and a set of tags describing the semantic context.},
added-at = {2018-06-13T22:05:41.000+0200},
address = {Cham},
author = {Atzmueller, Martin and Mueller, Juergen and Becker, Martin},
biburl = {https://www.bibsonomy.org/bibtex/2846b885923ce599c0b5ec3bc5b66e35e/becker},
booktitle = {Mining, Modeling, and Recommending 'Things' in Social Media},
description = {Exploratory Subgroup Analytics on Ubiquitous Data | SpringerLink},
editor = {Atzmueller, Martin and Chin, Alvin and Scholz, Christoph and Trattner, Christoph},
interhash = {2bb826506aa513ea4d2ff75c7184f33f},
intrahash = {846b885923ce599c0b5ec3bc5b66e35e},
isbn = {978-3-319-14723-9},
keywords = {data myown subgroup ubiquitous},
pages = {1--20},
publisher = {Springer International Publishing},
timestamp = {2018-06-13T22:05:41.000+0200},
title = {Exploratory Subgroup Analytics on Ubiquitous Data},
year = 2015
}