Predicting indoor spatial movement using data mining and movement patterns

Lam, Luan DM, Tang, Antony and Grundy, John 2017, Predicting indoor spatial movement using data mining and movement patterns, in BigComp 2017 : Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 223-230, doi: 10.1109/BIGCOMP.2017.7881703.

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Title Predicting indoor spatial movement using data mining and movement patterns
Author(s) Lam, Luan DM
Tang, Antony
Grundy, JohnORCID iD for Grundy, John orcid.org/0000-0003-4928-7076
Conference name IEEE Computer Society. Conference (2017 : Jeju, South Korea)
Conference location Jeju, South Korea
Conference dates 2017/02/13 - 2017/02/16
Title of proceedings BigComp 2017 : Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing
Editor(s) [Unknown]
Publication date 2017
Series IEEE Computer Society Conference
Start page 223
End page 230
Total pages 8
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Location Prediction
Spatial Behaviors
Sequential Pattern Mining
Indoor Environments
Science & Technology
Technology
Computer Science, Theory & Methods
Computer Science
ISBN 978-1-5090-3015-6
ISSN 2375-9356
Language eng
DOI 10.1109/BIGCOMP.2017.7881703
Field of Research 080309 Software Engineering
Socio Economic Objective 890201 Application Software Packages (excl. Computer Games)
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090856

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