• 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1405032