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엔트로피 기반 분할과 중심 인스턴스를 이용한 분류기법의 데이터 감소 KCI 등재
Data Reduction for Classification using Entropy-based Partitioning and Center Instances
손승현, 김재련
- 언어KOR
- URLhttps://db.koreascholar.com/Article/Detail/22373
4,000원
한국산업경영시스템학회지
(Journal of Society of Korea Industrial and Systems Engineering)
Vol. 29 No. 2 (2006.06)
pp.13-19
pp.13-19
한국산업경영시스템학회
(Society of Korea Industrial and Systems Engineering)
초록
The instance-based learning is a machine learning technique that has proven to be successful over a wide range of classification problems. Despite its high classification accuracy, however, it has a relatively high storage requirement and because it mus
키워드
Data miningData reductionInstance-based learning
저자
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