摘要
近年随着数据库、网络等各种计算机技术的发展,人们希望能够通过数字挖掘技术对海量数据进行更高效快捷的挖掘分析,如何更好地利用海量数据及提高数据挖掘技术的效率已经成为了备受关注的问题。关联规则是数据挖掘的主要研究方向,研究关联规则具有重要的实用价值。本文对多种关联规则挖掘算法进行了具体分析,并针对当前提高关联规则挖掘算法效率的优化技术进行了深入的分析研究,并说明了各改进算法在商业领域中的应用。
With the development of databases,networks and other computer technology in recent years,people want to dig through digital analysis of its higher level to better use the data.The methord of how to improved the efficiency of data mining has became the most important problem.Association rules is the main research area of data mining that has a broad application.This article first introduces the basic concepts of association rules,association rules algorithm for detailed analysis and research,the algorithm for improving the current efficiency of various optimization techniques have also been described and analyzed in detail,and the improved algorithm in all areas of business is also described.
出处
《长春理工大学学报（自然科学版）》
2011年第1期107-109,共3页
Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词
数据挖掘
关联规则
遗传算法
data mining
association rule
genetic algorithm
