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The Application of College Employing Management System Based on Improved Multi-dimension Association Rule Mining Algorithm

机译:改进的多维关联规则挖掘算法在大学用人管理系统中的应用

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This text analyses present data mining technology based on association rule, carrying on an improvement to Apriori of frequency set method, and put forward to a multi-dimensional Apriori algorithm without producing candidates for election, according to which, give a investigation of data of undergraduate employment instruction center recent years of Jiamusi university. The result manifests that the algorithm strengthens the ability of data mining of original software and promotes the work efficiency. That various rules mined be brought into decision-making system will provide realistic basis to the management and the decision of the school. The knowledge excavated from the improved algorithm using this improved method has high value in application.
机译:本文分析了当前基于关联规则的数据挖掘技术,对频率集方法的Apriori进行了改进,提出了一种不产生候选者的多维Apriori算法,据此对大学生的数据进行了研究。佳木斯大学近年来就业指导中心。结果表明,该算法增强了原有软件的数据挖掘能力,提高了工作效率。将各种规则纳入决策系统,将为学校的管理和决策提供现实依据。使用该改进方法从改进算法中挖掘出的知识具有很高的应用价值。

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