摘要
在当前处理大数据集的需求下,针对关联规则数据挖掘传统Apriori算法的不足,提出基于云计算平台并引入矩阵概念的一种改进算法,通过改进以减少传统Apriori算法的I/O负担严重、候选集数量巨大等问题,使其更好地适应大数据的频繁项集数据挖掘。
In the processing of large data sets under the demand of association rules of data mining, aiming at the shortcomings of traditional Apriori algorithm, an improved algorithm is proposed based on the cloud computing platform and the introduction of the concept of matrix, by improving the traditional Apriori algorithm to reduce the burden of I/O serious problem, the candidate set with a huge quantity. It better adapts to large data frequent itemsets in data mining.
出处
《信息技术》
2015年第9期162-165,共4页
Information Technology
