公开(公告)号：US20220114460A1

公开(公告)日：2022-04-14

申请号：US17084890

申请日：2020-10-30

申请人： National Central University

发明人： Chih-Yuan Huang ,  I-Sheng Tseng

IPC分类号： G06N5/04 ,  G06N20/00

摘要： An apparatus is provided for identifying representation. The representation is obtained for heterogeneous time series data. The apparatus comprises a model training device and a data classification device. Based on the requirements of compression rate and information loss, a most suitable time series representation is found out for a specific time series data. In particular, the model training device assesses each item of training time series data to evaluate the performance of various representations for thus identifying the most suitable representation for each item of the specific training time series data; and, then, the training time series data are clustered and the most representative time series data for each clustered data is determined. On receiving unidentified time series data, the data classification device computes the similarity between the unidentified time series data and each cluster representation for indirectly identifying the most suitable representation for the unidentified time series data.