@inproceedings{5b40545cd0764ea991d3c1fd657b73e9,
title = "Konum ve rota veri k{\"u}melerinde tutarsizlik tespiti",
abstract = "Detection of location and trajectory anomalies of moving objects such as people and vehicles are crucial to identify abnormal behaviour during their daily activities. In this study, it is aimed to determine these anomalies using the tracking device under development. For that purpose, performance of different state-of-the-art online data mining and machine learning algorithms are compared using GPS traces including short-term (two weeks) data.",
keywords = "Anomaly detection, Location anomaly, Online unsupervised learning, Trajectory anomaly",
author = "Datlica, \{Mustafa Tolga\} and Engin Demir",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021 ; Conference date: 09-06-2021 Through 11-06-2021",
year = "2021",
month = jun,
day = "9",
doi = "10.1109/SIU53274.2021.9477872",
language = "T{\"u}rk{\c c}e",
series = "SIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "SIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings",
address = "!!United States",
}