A Discovery for the Association Rules of Operation Sequence Based on Improved Apriori Algorithm

被引：0

作者：

Tan Yanhua ^{[1
]}

机构：

[1] Wenzhou Univ, Coll Phys & Elect Informat Engn, Wenzhou, Zhejiang, Peoples R China

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VI | 2010年

关键词：

apriori algorithm; operation sequence; association rule;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the application of the computer aided process planning technology, enterprises have accumulated a great deal of process data. With Apriori algorithm in data mining technology we can find associated inherent in the data, which will help enterprises with the design process. This article first briefly introduces the model of Operation Sequence's association rules, then we improved the algorithm based on the analysis of algorithm performance and its bottlenecks. Combining with actual data, we give a detailed description of the improved Apriori algorithm's application in the discovery for operation sequence of association rules.

引用

页码：181 / 184

页数：4

共 8 条

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