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Translated title of the contribution: Anomaly detection in location and trajectory datasets

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2 Citations (Scopus)

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.

Translated title of the contributionAnomaly detection in location and trajectory datasets
Original languageTurkish
Title of host publicationSIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665436496
DOIs
Publication statusPublished - 9 Jun 2021
Event29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021 - Virtual, Istanbul, Turkey
Duration: 9 Jun 202111 Jun 2021

Publication series

NameSIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings

Conference

Conference29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021
Country/TerritoryTurkey
CityVirtual, Istanbul
Period9/06/2111/06/21

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