摘要
分类和关联规则是数据挖掘领域中最流行的两种技术。文章在分析Apriori关联规则算法的原理的基础上,对分类与Apriori两种技术的不同特点进行了比较。根据不同点将Apriori算法作为核心技术引入到分类挖掘中,给出一个新的分类算法,从实例的结果可以知道该算法的正确性和有效性,尤其是它能够很容易的处理带有缺省属性值的记录。
Classification and association rule are the most popular techniques in the data mining field.Apriori algorithm,as key technology,was introduced into the classification mining,a method for classification was proposed.The method has the advantages of calculation simplicity and easy programming.This paper first analyses the principle of relevant regulation arithmetic,then according to this principle it compares the differences of classification and Apriori.Based on the differences of the two techniques,this paper puts forward a new type of classification arithmetic.The correctness and validity of this new classification arithmetic can be proved by the practical examples.Moreover,it is helpful for dealing with the default record in an easy manner.
出处
《西华大学学报（自然科学版）》
CAS
2007年第2期11-14,共4页
Journal of Xihua University:Natural Science Edition
关键词
分类
关联规则
频繁项集
数据库
classification
association rule
frequent item set
database
