Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories

Martha Dais Ferreira; Jessica Campbell; Evan Purney; Amilcar Soares; Stan Matwin

doi:10.1080/13658816.2022.2163494

Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories

Martha Dais Ferreira, Jessica Campbell, Evan Purney, Amilcar Soares, Stan Matwin

Engineering

科研成果: 期刊稿件 › 文章 › 同行评审

7 引用（Scopus）

源语言	英语
页（从-至）	660-683
页数	24
期刊	International Journal of Geographical Information Science
卷	37
期	3
DOI	https://doi.org/10.1080/13658816.2022.2163494
出版状态	已出版 - 2023

!!!ASJC Scopus Subject Areas

信息系统
地理、规划与发展
图书馆与信息科学

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10.1080/13658816.2022.2163494

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note = "Funding Information: We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC) [grant 550722], the CHIST-ERA [grant CHIST-ERA-19-XAI-010], and NCN [grant 2020/02/Y/ST6/00064]. Publisher Copyright: {\textcopyright} 2023 Copyright of the Crown in Canada. Dalhousie University. Published by Informa UK Limited, trading as Taylor & Francis Group.",

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AU - Ferreira, Martha Dais

AU - Campbell, Jessica

AU - Purney, Evan

AU - Soares, Amilcar

AU - Matwin, Stan

N1 - Funding Information: We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC) [grant 550722], the CHIST-ERA [grant CHIST-ERA-19-XAI-010], and NCN [grant 2020/02/Y/ST6/00064]. Publisher Copyright: © 2023 Copyright of the Crown in Canada. Dalhousie University. Published by Informa UK Limited, trading as Taylor & Francis Group.

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VL - 37

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Assessing compression algorithms to improve the efficiency of clustering analysis on AIS vessel trajectories

!!!ASJC Scopus Subject Areas

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