摘要
分析数据挖掘中关联规则挖掘算法的研究现状,提出关联规则新的价值衡量方法和关联规则挖掘今后进一步的研究方向。以核心Apriori算法为基点,运用文献查询和比较分析方法对典型的关联规则挖掘算法进行了综合研究:①Apriori方法即使进行了优化,一些固有的缺陷仍然无法克服,还需进一步研究;②今后的研究方向将是提高处理极大量数据和非结构化数据算法的效率、与OLAP相结合以及生成结果的可视化。
By analyzing the research actuality of in data mining, a new association rules value measuring methods andthe furtherresearch direction of association rules in the future is provided. Literature query and comparison analysis methods are applied in bearing typical association rules mining methods for integrate research based on kernel Apriori arithmetic. ①Even if apriori algorithm is optimized, some connatural bug cannotbe overcome, and the furtherresearch is also needed in the future. ②The future research direction to enhance algorithm efficiency of dealing with the maximum data and non-structure data and combine with OLAP as well as the inspection of growing results.
出处
《计算机工程与设计》
CSCD
北大核心
2005年第5期1265-1268,共4页
Computer Engineering and Design
关键词
数据挖掘
关联规则
算法
频集
data mining
association rules
algorithm
frequent set
