The authors detail the alignment prediction approach-a time-series-estimation technique applicable to both numeric and nonnumeric data-and compare it to four other prediction approaches to determine context-prediction accuracy in ubiquitous computing environments.
%0 Journal Article
%1 sigg_2010
%A Sigg, Stephan
%A Haseloff, Sandra
%A David, Klaus
%C Los Alamitos, CA, USA
%D 2010
%I IEEE Computer Society
%J IEEE Pervasive Computing
%K ComTec itegpub
%N 4
%P 90-97
%R http://doi.ieeecomputersociety.org/10.1109/MPRV.2010.23
%T An Alignment Approach for Context Prediction Tasks in UbiComp Environments
%V 9
%X The authors detail the alignment prediction approach-a time-series-estimation technique applicable to both numeric and nonnumeric data-and compare it to four other prediction approaches to determine context-prediction accuracy in ubiquitous computing environments.
@article{sigg_2010,
abstract = {The authors detail the alignment prediction approach-a time-series-estimation technique applicable to both numeric and nonnumeric data-and compare it to four other prediction approaches to determine context-prediction accuracy in ubiquitous computing environments.},
added-at = {2016-04-15T12:51:20.000+0200},
address = {Los Alamitos, CA, USA},
author = {Sigg, Stephan and Haseloff, Sandra and David, Klaus},
bdsk-url-1 = {http://doi.ieeecomputersociety.org/10.1109/MPRV.2010.23},
biburl = {https://www.bibsonomy.org/bibtex/26af1735397f59b542029db5123e802d4/comtec_pub},
date-added = {2016-04-15 10:50:23 +0000},
date-modified = {2016-04-15 10:50:39 +0000},
doi = {http://doi.ieeecomputersociety.org/10.1109/MPRV.2010.23},
interhash = {9270a8ae0fa71a25d73664e4dbb91c1a},
intrahash = {6af1735397f59b542029db5123e802d4},
issn = {1536-1268},
journal = {IEEE Pervasive Computing},
keywords = {ComTec itegpub},
number = 4,
pages = {90-97},
publisher = {IEEE Computer Society},
timestamp = {2016-10-28T11:22:06.000+0200},
title = {An Alignment Approach for Context Prediction Tasks in UbiComp Environments},
volume = 9,
year = 2010
}