METHOD AND APPARATUS FOR PROCESSING PREDICTIVE SPATIOTEMPORAL QUERY BASED ON SYNTHETIC DATA
Abstract:
Disclosed herein is an apparatus for processing a predictive spatiotemporal query based on synthetic data. The apparatus includes a query-processing unit for analyzing a predictive spatiotemporal query of a user and returning a processing result, a machine-learning unit for training a machine-learning model in response to a request from the query-processing unit and generating synthetic spatiotemporal data based on the machine-learning model, and a data storage unit for storing raw spatiotemporal data and the generated synthetic spatiotemporal data, and the raw spatiotemporal data may be stored in the form of a table including an identifier column and a position column.
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