Detailed Information

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

독서영향요인 탐색 연구에서의 전통적인 통계분석과 머신러닝/딥러닝의 방법론적 차이:주제범위 고찰

Full metadata record
DC Field Value Language
dc.contributor.author신인수-
dc.date.accessioned2026-01-17T00:31:26Z-
dc.date.available2026-01-17T00:31:26Z-
dc.date.issued2025-08-08-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/63290-
dc.title독서영향요인 탐색 연구에서의 전통적인 통계분석과 머신러닝/딥러닝의 방법론적 차이:주제범위 고찰-
dc.typeConference-
dc.citation.startPage1-
dc.citation.endPage4-
dc.citation.conferenceName제32회 한국정보관리학회 하계학술대회-
dc.citation.conferencePlace대한민국-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School of Education > ETC > 2. Conference Papers

qrcode

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

Related Researcher

Researcher Shin, In Soo photo

Shin, In Soo
Graduate School of Education
Read more

Altmetrics

Total Views & Downloads

BROWSE