计算机与数字工程2019，Vol.47Issue(1)：253-257,5.DOI:10.3969/j.issn.1672-9722.2019.01.052
基于矩阵的多维关联规则算法在烟叶复烤配方的应用研究∗
Research and Application of Multi-dimensional Association Rule Algorithm Based on Matrix in Flue-cured Tobacco Formula
摘要
Abstract
This paper deals with the problem of high I/O cost caused by the frequent scanning database of Apriori algorithm and the demand for multidimensional data mining of flue-cured tobacco formula. Based on the classical Apriori algorithm,an im?proved matrix algorithm based on matrix is proposed. The algorithm reduces the number of scans of the database by constructing the multidimensional transaction matrix. At the same time,the algorithm compresses the matrix by pruning and eliminating redundant transactions,which effectively improves the mining efficiency. This algorithm is used to mine and analyze the data of the historical formula module. The results show that the proposed method can effectively extract the formula maintenance rules of the formula ex?perts implied in the formula data into regular representation,and the collocation and cooperative information of the tobacco in formu?la module are founded out. This method reduces the workload of the formulators and can effectively guide the actual formulation de?sign and maintenance.关键词
复烤模块配方/多维关联规则/矩阵/Apriori算法Key words
Key Words cigarette formula/multidimensional association rule/matrix/apriori algorithm分类
信息技术与安全科学引用本文复制引用
王萝萍,唐兴宏,钱颖颖,马永凯,于春霞,秦玉华..基于矩阵的多维关联规则算法在烟叶复烤配方的应用研究∗[J].计算机与数字工程,2019,47(1):253-257,5.基金项目
云南中烟工业有限责任公司项目(编号:JSZX2014YL01,20530001020152000086)资助. （编号:JSZX2014YL01,20530001020152000086）
