The application of college employing management system based on improved multi-dimension association rule mining algorithm

摘要：

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 multidimensional 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.

关键词： Aprior,Data Mining Associatio Rules Decision-making system

作者: Chunyan Fu Jingshun Liu Haojie Wang Hong Zhou

作者单位: Jiamusi University Jiamusi, China Jiamusi UniversityJiamusi, China

会议类型: 国际会议

会议名称: 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 第三届智能人机系统与控制论国际会议 IHMSC 2011

会议地点: 杭州

会议语种:英文

页码: 370-372

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）