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학술대회 SPER: Stay-Point Extraction considering Revisits in a Single Trajectory
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저자
임지연, 유승희, 정승은, 김가규, 노경주, 임정묵, 정현태
발행일
202110
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1555-1557
DOI
https://dx.doi.org/10.1109/ICTC52510.2021.9621139
협약과제
21ZS1100, 자율성장형 복합인공지능 원천기술 연구, 송화전
초록
The stay-point extraction is one of major features for analysis with GPS data. Most previous studies considered multiple trajectories and they overlooked revisits in a single trajectory. However, the number of visits for specific location reveals significant semantics of user behavior. Therefore, we proposed the algorithm for stay-point extraction considering revisits and evaluate our method with 21 persons' GPS data in the wild. The metric for stay-points and labels is also proposed in this study.
KSP 제안 키워드
Gps data, Point extraction, User behavior, multiple trajectories, the wild