Advertisement
Published in:
2011 | OriginalPaper | Chapter
User’s Location Prediction System Using the Filtering with Correlation Coefficients Weight
Authors : Kyoung-Mi Im, Chan-Yung Choi, Jae-Hyun Lim
Published in: Future Information Technology
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
This paper proposes User’s Location Prediction System using the Filtering with Correlation Coefficients Weight. This system heterogeneous data occurred during the process of collecting context information into homogeneous data, and improves the accuracy of clustering needed for location-awareness. Also, it applies correlation coefficients weight to extract features and predicts user’s location through ARIMA time-series analysis. For the evaluation of the proposed method a test bed is constructed, tested and compared with the method without weighting.