Mining mobility patterns from geotagged photos through semantic trajectory clustering

Cai, Guochen, Lee, Kyungmi, and Lee, Ickjai (2018) Mining mobility patterns from geotagged photos through semantic trajectory clustering. Cybernetics and Systems, 49 (4). pp. 234-256.

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Increasing geotagged social media data has become a potential repository used to find common trajectory patterns. Various spatial trajectory behaviors have been studied in previous work. In this paper, we extract common trajectory patterns on semantic level. We enrich trajectories with additional contextual semantic annotations and propose a density-based method to find semantic common trajectory patterns with a novel similarity measure method. Real geotagged photo data are used in our experiments. Experimental results demonstrate that our methods are able to generate semantic common trajectory patterns.

Item ID: 55002
Item Type: Article (Research - C1)
ISSN: 1087-6553
Keywords: common trajectory patterns, geotagged photos, semantic behaviors, semantic trajectories
Date Deposited: 13 Aug 2018 23:13
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460502 Data mining and knowledge discovery @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified @ 100%
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