Correlation Analysis of Association Rules Based on Piecewise Nonlinear Regression

摘要：

Mining association rules is an important research area in data mining. At present, researchers mainly adopt global methods to do the correlation analysis of association rules. But it can not reflect the local change of the correlation. Therefore, this paper proposes a new method to study the correlation of association rules based on piecewise nonlinear regression. The new method can make the analysis of correlation more accurate so as to reduce the number of rules and mine more interesting rules.

关键词： correlation analysis association rules nonlinear regression

作者: Zhi Liu Mingyu Lu Weiguo Yi

作者单位: College of Information Science and Technology Dalian Maritime University Dalian, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Environmental and Computer Science(2010年第三届环境与计算机科学国际会议 ICECS 2010)

会议地点: 昆明

会议语种:英文

页码: 439-443

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）