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Extraction method of Stay Point using a Statistical Analysis  

Park, Jin Gwan (목포대학교 컴퓨터공학과)
Oh, Soo Lyul (목포대학교 컴퓨터공학과)
Publication Information
Smart Media Journal / v.5, no.4, 2016 , pp. 26-40 More about this Journal
Abstract
Recent researches have been conducted for a user of the position acquisition and analysis since the mobile devices was developed. Trajectory data mining of location analysis method for a user is used to extract the meaningful information based on the user's trajectory. It should be preceded by a process of extracting Stay Point. In order to carry out trajectory data mining by analyzing the user of the GPS Trajectory. The conventional Stay Point extraction algorithm is low confidence because the user to arbitrarily set the threshold values. It does not distinguish between staying indoors and outdoors. Thus, the ambiguity of the position is increased. In this paper we proposed extraction method of Stay Point using a statistical analysis. We proposed algorithm improves position accuracy by extracting the points that are staying indoors and outdoors using Gaussian distribution. And we also improve reliability of the algorithm since that does not use arbitrarily set threshold.
Keywords
trajectory data mining; gps trajectory; stay point; semantic; threshold;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
연도 인용수 순위
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