Mining and clustering mobility evolution patterns from social media for urban informatics
In this paper, given a set of check-in data, we aim at discovering representative daily movement behavior of users in a city. For example, daily movement behavior on a weekday may show users moving from one to another spatial region associated with time information. Since check-in data contain both...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2016
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/3631 https://ink.library.smu.edu.sg/context/sis_research/article/4633/viewcontent/Mining_and_clustering_mobility.pdf |
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| Institution: | Singapore Management University |
| Language: | English |