대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

데이터마이닝 연관 기법을 이용한 전력계통 고장 해석

Analysis of Electric Power System Using Data Mining Association Rule

  • 이준섭 (성균관대학교 전기전자및컴퓨터공학과) ;
  • 김민수 (성균관대학교 전기전자및컴퓨터공학과) ;
  • 최상열 (성균관대학교 전기전자및컴퓨터공학과) ;
  • 김철환 (성균관대학교 전기전자및컴퓨터공학과) ;
  • 김응모 (성균관대학교 전기전자및컴퓨터공학과)
  • Lee, Joon-Sub (School of Electronical & Computer Engineering. Skungkyunkwan University) ;
  • Kim, Min-Soo (School of Electronical & Computer Engineering. Skungkyunkwan University) ;
  • Choi, Sang-Yule (School of Electronical & Computer Engineering. Skungkyunkwan University) ;
  • Kim, Chul-Hwan (School of Electronical & Computer Engineering. Skungkyunkwan University) ;
  • Kim, Ung-Mo (School of Electronical & Computer Engineering. Skungkyunkwan University)
  • 발행 : 2001.07.18
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Data Mining is a issue of Database fields. Data mining is discovered optimally interesting rules for user, which are results of specific requirements of user. through past data. Through to analyze and to statical suppose interesting rules. we can prepare future faults of system. In this paper, we present a new way which is discovered and repaired faults of Electric Power system using Data Mining techniques.

키워드