Earticle

초록

영어

Data mining receives much attention from artificial intelligence and databases, and the association rule is one of the most important research fields of data mining. In this paper, the advantages and disadvantages of the specific indicators of objective measure, subjective measure, and association rule based on statistical perspective are discussed. Some indicators of statistical perspective are adopted to measure the association rules, which can effectively solve the problems of association rules. Next, a further verification of the advantage and disadvantages of the indicators is made by the combination of the theory and application, a new measure frame is put forward as well. Then, the dynamic association rules are analyzed through making a comparative analysis in the following four aspects: the traditional association analysis without the life cycle, the association rules with the life cycle, the weighted dynamic association rules and the weighted dynamic association rules weighted by the consumption amount, showing the influence of timeliness on association rules analysis, and thus effectively mining some rules with low support in global period but high support in a certain period.

목차

Abstract
 1. Introduction
 2. The Interestingness Measure of Association Rule
  2.1 The Indicators of Objective Measure
  2.2. The Indicators of Subjective Measure
  2.3. The Indicators of Association Rule Based on Statistical Perspective [8]
  2.4. The Comparison for the Objective Measure Indicator
 3. The Evaluation for the Measure Frame of the Traditional Association Rule
 4. The Analysis of Dynamic Association Rules
  4.1. The Traditional Association Analysis without the Life Circle
  4.2. The Association Rule with the Life Circle
  4.3. The Weighted Dynamic Association Rule
  4.4. The Weighted Dynamic Association Rule Weighted by the Consumption Amount
 5. Summary
 References

키워드

저자

• Gao Yongmei [ Hangzhou Vocational & Technical College, Hangzhou 310018, China; Zhejiang Gongs hang University, Hangzhou 310018, China ]
• Bao Fuguang [ Hangzhou Vocational & Technical College, Hangzhou 310018, China; Zhejiang Gongs hang University, Hangzhou 310018, 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