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Journal Article 인공지능 기술을 활용한 데이터 관리 기술 동향
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Authors
김창수, 박춘서, 이태휘, 김지용
Issue Date
2023-12
Citation
전자통신동향분석, v.38, no.6, pp.22-30
ISSN
1225-6455
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2023.J.380603
Abstract
Recently, artificial intelligence has been in the spotlight across various fields. Artificial intelligence uses massive amounts of data to train machine learning models and performs various tasks using the trained models. For model training, large, high-quality data sets are essential, and database systems have provided such data. Driven by advances in artificial intelligence, attempts are being made to improve various components of database systems using artificial intelligence. Replacing traditional complex algorithm-based database components with their artificial-intelligence-based counterparts can lead to substantial savings of resources and computation time, thereby improving the system performance and efficiency. We analyze trends in the application of artificial intelligence to database systems.
KSP Keywords
Data sets, Database systems, High-quality, Quality data, System performance, artificial intelligence, complex algorithm, computation time, machine learning models
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: