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Дата последнего поиска статьи во внешних источниках: 28 мая 2015 г.
Аннотация:With the development of location detection devices (for example, smartphones),
movement data has become widely available nowadays. Many modern applications collect large datasets in the form of trajectories. Many researchers have devoted their works to trajectory-based queries. We can point to a continued interest to similarity queries, to getting various forms for aggregating behavior, etc. In this paper we target relations
hips among moving objects for context-aware applications, where location data could be replaced by proximity information. This paper extends our previous work s devoted to usage of proximity in geospatial applications.