Data Mining and Business Process Management of Apriori Algorithm

被引:0
作者
Qiu Suzhen
机构
[1] NanNing University
关键词
Apriori; Data Mining and Business Process Management of Apriori Algorithm;
会议名称
2018年先进电子材料、计算机与材料工程国际学术会议(AEMCME 2018)
会议时间
2018-12-01
会议地点
新加坡新加坡
中图分类号
TP311.13
学科分类号
1201
类型
摘要
The classical association rule data mining algorithm Apriori algorithm is widely used in various fields. Through the analysis and mining of data relevance, the information extracted has important reference value in the decision-making process. The continuous promotion and application of information technology, how to make full use of this data information to provide decision support for decision maker in various industries have become an urgent and thorny issue. In addition to using the existing relational database standard query statements to obtain general and intuitive information, It is necessary to mine the data relationships that are contained, unknown, and actually exist. The famous Apriori algorithm is an algorithm for mining association rules. In this paper, through the basic idea of Apriori algorithm, the embedded data relationship is mined and Apriori algorithm is implemented.
引用
收藏
页码:388 / 391
页数:4
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