Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Discovery of Association Rules Base on Data of Time Series and Quantitative Attribute

시간적 관계와 수량적 가중치 따른 연관규칙 발견

  • 양신모 (인하대학교 전자계산공학과) ;
  • 정광호 (인하대학교 전자계산공학과) ;
  • 김진수 (인하대학교 전자계산공학과) ;
  • 이정현 (인하대학교 컴퓨터공학부)
  • Published : 2003.11.01
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Abstract

In this paper, we explore a new data mining capability that is based on Quantitative Attribute and Time Series. Our solution procedure consists of two steps. First, We derive an algorithm to contain the Quantitative Attribute into a set of candidate item. Second, We redefine the concepts of confidence and support for composite association rules. It is shown that proposed methode is very advantageous and can lead to prominent performance improvement.

Keywords