Record link: 
http://hdl.handle.net/20.500.12708/188168
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Title: 
A novel indoor trajectory pattern mining framework
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Citation: 
Ali, H., & Wang, W. (2023). A novel indoor trajectory pattern mining framework. In S. Coetzee (Ed.), 31st International Cartographic Conference (ICC 2023). Copernicus Publications. https://doi.org/10.5194/ica-abs-6-7-2023
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CatalogPlus: 
AC17203828
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Publisher DOI: 
10.5194/ica-abs-6-7-2023
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Ali, Hassam 
Wang, Wangshu 
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Organisational Unit: 
E120-06 - Forschungsbereich Kartographie 
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Published in: 
31st International Cartographic Conference (ICC 2023) 
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Volume: 
6
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Date (published): 
11-Aug-2023
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Event name: 
31st International Cartographic Conference 
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Event date: 
13-Aug-2023 - 18-Aug-2023
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Event place: 
Cape Town, South Africa
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Number of Pages: 
2
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Publisher: 
Copernicus Publications
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Keywords: 
Trajectory; Similarity Measures; Indoor LBS; Pattern Mining; Framework
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
2074 - Geodäsie, Vermessungswesen: 70%
1020 - Informatik: 15%
1054 - Physische Geographie: 15%
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License: 
CC BY 4.0 CC BY 4.0
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