IoT ML Method on ML Training Dataset Preparation for IoT Platform

• Main Authors: JEONG SEUNG MYEONG, KIM SEONG YUN, SUNG NAK MYOUNG
• Format: Patent
• Language: English; Korean
• Published: 21.04.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC COMMUNICATION TECHNIQUE; ELECTRICITY; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION

Provided is an ML learning dataset construction method. The ML learning dataset construction method according to an embodiment of the present invention comprises: generating, by an M2M platform, a requested ML learning dataset when an ML learning dataset request is received from an ML application: and providing the generated ML learning dataset to the ML application, whereby a user of the ML application that requires an ML learning dataset may be liberated from inconvenience and time and effort in data merging/cleaning work. ML 학습 데이터셋 구축 방법이 제공된다. 본 발명의 실시예에 따른 ML 학습 데이터셋 구축 방법은, ML 애플리케이션으로부터 ML 학습 데이터셋 요청을 수신하면, M2M 플랫폼이 요청된 ML 학습 데이터셋을 생성하고, 생성한 ML 학습 데이터셋을 ML 애플리케이션에 제공한다. 이에 의해, ML 학습 데이터셋을 필요로 하는 ML 애플리케이션의 사용자로 하여금 데이터 병합/정제 작업에서의 번거로움 그리고 시간과 노력으로부터 해방되도록 할 수 있다.