Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

러닝 모델을 이용한 표 유사도 분석

Full metadata record
DC Field Value Language
dc.contributor.author손윤식-
dc.contributor.author서소영-
dc.contributor.author이현지-
dc.contributor.author이혜린-
dc.date.accessioned2025-09-09T08:06:39Z-
dc.date.available2025-09-09T08:06:39Z-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/60352-
dc.description.abstract본 발명은 표 형태의 컨텐츠의 유사도를 측정하고 이를 전체 유사도 평가에 반영함으로써, 단순 유사도 비교가 아닌 표가 포함되어있는 문서 등에서 좀 더 정확한 유사도를 평가할 수 있는 알고리즘이다.-
dc.title러닝 모델을 이용한 표 유사도 분석-
dc.title.alternativeTable Simiilarity Analysis Using Learning Model-
dc.typePatent-
dc.publisher.location대한민국-
dc.contributor.assignee동국대학교산학협력단-
dc.date.application2018-12-28-
dc.date.registration2020-04-13-
dc.type.iprs특허-
dc.identifier.patentRegistrationNumber10-2102276-
dc.identifier.patentApplicationNumber10-2018-0172332-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 4. Patents

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Son, Yun Sik photo

Son, Yun Sik
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
Read more

Altmetrics

Total Views & Downloads

BROWSE