MODEL GENERATION METHOD FOR EASY INTERPRETATION, DEVICE FOR SAME, DATA CLASSIFICATION METHOD USING MODEL GENERATED USING SAME, AND DEVICE FOR SAME

Title:

MODEL GENERATION METHOD FOR EASY INTERPRETATION, DEVICE FOR SAME, DATA CLASSIFICATION METHOD USING MODEL GENERATED USING SAME, AND DEVICE FOR SAME

Document Type and Number:

WIPO Patent Application WO/2022/211180

Kind Code:

A1

Abstract:

Disclosed are a model generation method for easy interpretation, a device for same, a data classification method using a model generated using same, and device for same. The model generation device: obtains a first classification result which classifies training data using a non-supervised learning model; obtains a second classification result which classifies training data using a supervised learning model, and generates a data classification model by repeatedly carrying out a process of again obtaining a first classification result and a second classification result after the second classification result has been cumulatively added to the training data, until the first classification result and the second classification result are the same, within a pre-defined allowable limit of error.

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Inventors:

CHOI YU RY (KR)
CHOI JOUNG HYUK (KR)

Application Number:

PCT/KR2021/005839

Publication Date:

October 06, 2022

Filing Date:

May 11, 2021

Export Citation:

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Assignee:

SOLIDWARE CO LTD (KR)

International Classes:

G06N20/00

Foreign References:

KR20150049511A	2015-05-08
KR20190135329A	2019-12-06
KR101843066B1	2018-05-15
US20060179021A1	2006-08-10

Other References:

CHO, HEE-CHAN; MOON, JONG-SUB: "A layered-wise data augmenting algorithm for small sampling data", INTEO'NES JEONGBO HAGHOE NONMUNJI = JOURNAL OF KOREAN SOCIETY FOR INTERNET INFORMATION, KOREAN SOCIETY FOR INTERNET INFORMATION,HANGUG INTEONES JEONGBO HAGHOE, KOREA, vol. 20, no. 6, 30 November 2019 (2019-11-30), Korea , pages 65 - 72, XP009539976, ISSN: 1598-0170

Attorney, Agent or Firm:

Y.P.LEE, MOCK & PARTNERS (KR)

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