具有利润约束的数值型关联规则的发现  

Discovery of Profit Constraint Quantitative Association Rules

作　　者：王傲胜[1] 李国徽[1] 

机构地区：[1]华中科技大学计算机学院,湖北武汉430074

出　　处：《安徽电气工程职业技术学院学报》2006年第3期83-87,共5页Journal of Anhui Electrical Engineering Professional Technique College

摘　　要：过程控制历史数据随着生产过程的演变,其不同时间产生的数据对有关参数的贡献也是不同的,对故障的影响也是不同的。本文提出了解决引入利润约束后多值数据库的数据关联问题。给出了具有利润约束的多值数据库的数据关联规则问题的性质,并提出了解决该问题的高效算法,解决了不相邻数值区间进行的合并关联问题。The data of process control evolve with the rapid development of productive process. It is distinct contributed to the related parameter of the distinct stages data, the influence to the fault also is different. The paper induces profit constraint in Quantitative association rules mining, present the character of Quantitative association rules mining with profit constraint, and proposes an effective algorithm according to the character of the problem, and solved the merge connection problem which not the neighboring sector of Quantitative association rules mining.

关 键 词：利润约束 数值型关联 不相邻区间 算法 合并关联 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]