ORACON: An adaptive model for context prediction
作者：
Highlights：
• We propose ORACON, a model for automatic selection of context prediction algorithms.
• The model adapts itself to apply the best prediction algorithm in an application.
• ORACON uses a context formal representation and allows the treatment of privacy.
• A prototype allowed two experiments to assess functionalities and adaptive behavior.
• The assessment proved that ORACON chooses the most accurate prediction algorithm.
摘要
•We propose ORACON, a model for automatic selection of context prediction algorithms.•The model adapts itself to apply the best prediction algorithm in an application.•ORACON uses a context formal representation and allows the treatment of privacy.•A prototype allowed two experiments to assess functionalities and adaptive behavior.•The assessment proved that ORACON chooses the most accurate prediction algorithm.
论文关键词：Context awareness,Context prediction,Prediction algorithms
论文评审过程：Received 20 May 2014, Revised 14 September 2015, Accepted 15 September 2015, Available online 25 September 2015, Version of Record 16 October 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.09.016
