A network abstraction of multi-vessel trajectory data for detecting anomalies

Iraklis Varlamis; Konstantinos Tserpes; Mohammad Etemad; Amílcar Soares; Stan Matwin

A network abstraction of multi-vessel trajectory data for detecting anomalies

Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares, Stan Matwin

Engineering

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Journal	CEUR Workshop Proceedings
Volume	2322
Publication status	Published - 2019
Event	2019 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2019 - Lisbon, Portugal Duration: Mar 26 2019 → …

ASJC Scopus Subject Areas

General Computer Science

Keywords

Outlier detection
Trajectory analytics
Vessel trajectory mining

Cite this

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title = "A network abstraction of multi-vessel trajectory data for detecting anomalies",

keywords = "Outlier detection, Trajectory analytics, Vessel trajectory mining",

author = "Iraklis Varlamis and Konstantinos Tserpes and Mohammad Etemad and Am{\'i}lcar Soares and Stan Matwin",

note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the author(s).; 2019 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2019 ; Conference date: 26-03-2019",

year = "2019",

language = "English",

volume = "2322",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

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TY - JOUR

T1 - A network abstraction of multi-vessel trajectory data for detecting anomalies

AU - Varlamis, Iraklis

AU - Tserpes, Konstantinos

AU - Etemad, Mohammad

AU - Soares, Amílcar

AU - Matwin, Stan

PY - 2019

Y1 - 2019

KW - Outlier detection

KW - Trajectory analytics

KW - Vessel trajectory mining

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M3 - Conference article

AN - SCOPUS:85062677001

SN - 1613-0073

VL - 2322

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2019 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2019

Y2 - 26 March 2019

ER -

A network abstraction of multi-vessel trajectory data for detecting anomalies

ASJC Scopus Subject Areas

Keywords

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