Earticle

초록

영어

Data mining is a complex systematic engineering. For complex systems that is influenced by multi indexes, the relevance, hierarchy and fuzziness among indexes pose great challenges to data mining of complex system. Therefore, the paper proposes a multi-index grey relational data mining model of complex system based on grey system theory. First, the paper constructs index sets and grey categories for data mining objectives, and, under the different grey categories, builds up grey classic domain and grey partial domain for the aforementioned index sets. Next, normalized processing is undertaken to unify scales of different kinds of insets, whose weight generating algorithm is also provided herein. The paper then establishes a grey relational coefficient model and a grey relational degree model whose value is used to obtain the grey categories of the data mining objectives. Finally, the paper verifies and expounds multi-index grey relational data mining model by applying it to real-life practice. The results show the effectiveness and feasibility of this model.

목차

Abstract
 1. Introduction
 2. Concepts of Grey Relational Theory
 3. Multi-Index Grey Relational Data Mining Model of Complex System
  3.1. Indexes Selection and Index Sets Establishment
  3.2. Grey Categories and Grey Classical Domain
  3.3 Normalized Treatment of Grey Numbers
  3.4 Grey Relational Data Mining Analysis
  3.5 Grey Modelling
 4. Modelling Verification
 5. Conclusion
 References

키워드

저자

• Xiaohui Wang [ Collage of Computer Science and Technology, Pingdingshan University, Pingdingshan, Henan, China ]
• Jianfen Liu [ Collage of Computer Science and Technology, Pingdingshan University, Pingdingshan, Henan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605