数据挖掘技术与关联规则挖掘算法研究

摘要

To explore the data used in the algorithm of association rules mining, proposes the research status, sums up a new research association analysis method according to the present situation, points out the algorithm of association rules in the future and further work. Using the analysis of literature search and comparative analysis method, to discuss the influence of various methods of typical connection, which serves as a basis for the Apriori algorithm. Conclusion still has some cannot eliminate the disadvantages of Apriori algorithm, which need further research, and points out the direction of future research to improve the computation efficiency of large amounts of data, can produce the visualization of results combined with OLAP.%探讨数据挖掘在现今关联规则算法中的使用情况，提出目前研究关联规则的研究现状，针对现状，总结出一种新的研究分析关联方法，指出关联规则算法在今后的出路以及进一步的研究方向。利用分析文献查询和比较分析方法，阐述各种方法对典型关联的影响，其中作为一个为基点是以核心Apriori的算法。结论是Apriori算法仍然有一些不能消除的缺点，这有待进一步研究，同时指出今后的研究方向需要提高大量数据的运算效率，并且能够与OLAP相互结合生产结果的可视化。