Jul 13, 2018 · This study investigates mining frequent moving sequences of geographic entities with transit time from geo-tagged data. Different from previous ...
This study investigates mining frequent moving sequences of geographic entities with transit time from geo-tagged data. Different from previous analysis of ...
This study investigates mining frequent moving sequences of geographic entities with transit time from geo-tagged data. Different from previous analysis of ...
This study investigates mining frequent moving sequences of geographic entities with transit time from geo-tagged data. Different from previous analysis of ...
Real geotagged photo data are used in our experiments. Experimental results demonstrate that our methods are able to generate semantic common trajectory.
This study investigates mining frequent moving sequences of geographic entities with transit time from geo-tagged data. Different from previous analysis of ...
This thesis proposes a sequential pattern mining method to extract semantic sequential patterns, which are sequences of stops that frequently occur in ...
Dec 17, 2021 · We propose a divide-and-conquer method to construct a spatial-semantic road map by incorporating multiple data sources (eg, crowdsourced trajectories and geo- ...
User-centric data such as geo-tagged photos and social media footprints are generally associated with some obvious semantic information. Therefore, our work is ...
Jun 21, 2018 · ABSTRACT. Increasing geotagged social media data has become a potential repository used to find common trajectory patterns.