DocumentCode :
1405032
Title :
An Alignment Approach for Context Prediction Tasks in UbiComp Environments
Author :
Sigg, Stephan ; Haseloff, Sandra ; David, Klaus
Author_Institution :
Tech. Univ. Braunschweig, Braunschweig, Germany
Volume :
9
Issue :
4
fYear :
2010
Firstpage :
90
Lastpage :
97
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.
Keywords :
time series; ubiquitous computing; UbiComp environment; alignment prediction; context prediction accuracy; context prediction task; time-series estimation; ubiquitous computing environment; Accuracy; Computational modeling; Context awareness; Independent component analysis; Pervasive computing; Prediction algorithms; Predictive models; Principal component analysis; Sequences; Ubiquitous computing; Pervasive computing; discrete event simulation; location-dependent and sensitive; pattern recognition algorithms;
fLanguage :
English
Journal_Title :
Pervasive Computing, IEEE
Publisher :
ieee
ISSN :
1536-1268
Type :
jour
DOI :
10.1109/MPRV.2010.23
Filename :
5406495
Link To Document :
بازگشت