一种基于Hadoop的Apriori改进算法  

An Improved Apriori Algorithm Based on Hadoop

作　　者：宣正邦 黄树成[1] 王逊[1] XUAN Zhengbang;HUANG Shucheng;WANG Xun(Jiangsu University of Science and Technology,Zhenjiang 212003)

机构地区：[1]江苏科技大学,镇江212003

出　　处：《计算机与数字工程》2022年第3期459-462,共4页Computer & Digital Engineering

基　　金：国家自然科学基金项目“基于鲁棒表现建模的目标跟踪方法研究”(编号:61772244)资助。

摘　　要：传统Apriori算法在大数据挖掘中存在速度慢、效果差等缺点,论文提出一种基于Hadoop平台的Apriori改进算法:改进算法的数据库扫描机制,优化运算过程中迭代方法。将改进后的Apriori算法与Hadoop平台相结合,有效地克服了传统Apriori算法的缺点,极大地提高了海量数据挖掘的效率,实验结果验证了算法的优势。The traditional Apriori algorithm has shortcomings such as slow speed and poor effect in big data mining.This paper proposes an improved Apriori algorithm based on the Hadoop platform:improved algorithm database scanning mechanism and optimized iterative method during operation.Combining the improved Apriori algorithm with the Hadoop platform effectively overcomes the shortcomings of the traditional Aprriori algorithm and greatly improves the efficiency of massive data mining.The experimental results verify the advantages of the algorithm.

关 键 词：数据挖掘 APRIORI算法 HADOOP平台 关联规则 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]