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

Thumbnail
Fulltext (Version of Record (published version))
Adobe PDF
(1.51 MB)
Open Access CC BY 4.0
Show full item record

Page view(s)

122
checked on Dec 1, 2023

Download(s)

23
checked on Dec 1, 2023

Google ScholarTM

Check