Spatial data mining and O-D hotspots discovery in cities based on an O-D hotspots clustering model using vehicles' GPS data: a case study in the morning rush hours in Beijing, China.
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%0 Conference Paper
%1 conf/gis/NiHZSMH18
%A Ni, Xiaoyong
%A Huang, Hong
%A Zhou, Shiwei
%A Su, Boni
%A Meng, Yangyang
%A Huang, Zhongliang
%B EM-GIS@SIGSPATIAL
%D 2018
%I ACM
%K dblp
%P 5:1-5:6
%T Spatial data mining and O-D hotspots discovery in cities based on an O-D hotspots clustering model using vehicles' GPS data: a case study in the morning rush hours in Beijing, China.
%U http://dblp.uni-trier.de/db/conf/gis/em2018.html#NiHZSMH18
%@ 978-1-4503-6044-9
@inproceedings{conf/gis/NiHZSMH18,
added-at = {2019-09-16T00:00:00.000+0200},
author = {Ni, Xiaoyong and Huang, Hong and Zhou, Shiwei and Su, Boni and Meng, Yangyang and Huang, Zhongliang},
biburl = {https://www.bibsonomy.org/bibtex/229c4b1ca9089c62c3078339e8f672933/dblp},
booktitle = {EM-GIS@SIGSPATIAL},
crossref = {conf/gis/2018em},
ee = {https://doi.org/10.1145/3284103.3284108},
interhash = {d175a0651c7a53a1814b5c1511cf22bd},
intrahash = {29c4b1ca9089c62c3078339e8f672933},
isbn = {978-1-4503-6044-9},
keywords = {dblp},
pages = {5:1-5:6},
publisher = {ACM},
timestamp = {2019-09-17T13:10:19.000+0200},
title = {Spatial data mining and O-D hotspots discovery in cities based on an O-D hotspots clustering model using vehicles' GPS data: a case study in the morning rush hours in Beijing, China.},
url = {http://dblp.uni-trier.de/db/conf/gis/em2018.html#NiHZSMH18},
year = 2018
}
