APPARATUS AND METHOD FOR LEARNING MIXED DATA FOR APPROXIMATE QUERIES
개요
출원인
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
발명자
Ki-Hyuk NAM; Tae-Whi LEE; Sung-Soo KIM; Choon-Seo PARK
IPC 분류
CPC 분류
Disclosed herein is an apparatus and method for learning mixed data for approximate queries. The apparatus receives mixed data including relational data about information for identifying an object and spatiotemporal data about the trajectory of the object moving in a target space, discretizes the relational data and the spatiotemporal data based on a level of detail that is preset for each designated area of the target space corresponding to the trajectory of the object, and generates a mixed learning model that learns the relational data and the spatiotemporal data for each level of detail using multiple relational models and spatiotemporal models.
원문 (중국어)
Disclosed herein is an apparatus and method for learning mixed data for approximate queries. The apparatus receives mixed data including relational data about information for identifying an object and spatiotemporal data about the trajectory of the object moving in a target space, discretizes the relational data and the spatiotemporal data based on a level of detail that is preset for each designated area of the target space corresponding to the trajectory of the object, and generates a mixed learning model that learns the relational data and the spatiotemporal data for each level of detail using multiple relational models and spatiotemporal models.