摘要： 通过对关联规则挖掘的分类研究，提出了关联规则挖掘的分类定义方法，从项集的相关性出发，阐述了一种基于ANN-PCA的快速、高效的挖掘算法，从而扩展了关联规则挖掘的应用。实验证明了该算法的有效性。
关键词:
关联规则,
外关联规则,
神经网络与组成份分析
Abstract: Through the research on classification of the association rules mining, this paper presents a definition method about association rules mining. According to the correlation between the items, it proposes an algorithm APAR based on ANN-PCA, and consequently the application of the association rules mining is extended. Experimental results show the algorithm is effective.
Key words:
association rules,
extra association rules,
ANN-PCA
中图分类号:
张有东;步山岳;王建东;叶飞跃. 基于神经网络与组成份分析的关联规则挖掘[J]. 计算机工程, 2007, 33(19): 63-65.
ZHANG You-dong; BU Shan-yue; WANG Jian-dong; YE Fei-yue. Association Rules Mining Based on ANN-PCA[J]. Computer Engineering, 2007, 33(19): 63-65.