US 12,340,318 B2
Device for processing time series data having irregular time interval and operating method thereof
Youngwoong Han, Daejeon (KR); Hwin Dol Park, Daejeon (KR); and Jae Hun Choi, Sejong (KR)
Assigned to ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed by ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed on Apr. 13, 2021, as Appl. No. 17/229,606.
Claims priority of application No. 10-2020-0044642 (KR), filed on Apr. 13, 2020.
Prior Publication US 2021/0319341 A1, Oct. 14, 2021
Int. Cl. G06N 5/04 (2023.01); G06N 20/00 (2019.01)
CPC G06N 5/04 (2013.01) [G06N 20/00 (2019.01)] 16 Claims
OG exemplary drawing
 
1. A time-series data processing device comprising:
a preprocessor configured to generate time-series interval data based on a time interval of time-series data, to generate feature interval data based on a time interval of each of features of the time-series data, and to preprocess the time-series data; and
a learner configured to generate a weight group of a prediction model for generating a prediction result based on the time-series interval data, the feature interval data, and the preprocessed time-series data,
wherein the preprocessor is further configured to:
preprocess the time-series data by putting an interpolation value into a missing value of the time-series data, and
generate masking data for identifying the missing value,
wherein the learner is further configured to generate the weight group further based on the masking data,
wherein the time-series data includes the features corresponding to each of a plurality of times, and
wherein the preprocessor is configured to:
generate the time-series interval data corresponding to a first time based on a difference between the first time and a second time preceding the first time among the plurality of times, and
generate the feature interval data corresponding to a first target feature of the first time based on a time interval between the first target feature corresponding to the first time and a second target feature corresponding to the second time preceding the first time.