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

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4 Author(s)
Chunyan Fu ; Jiamusi Univ., Jiamusi, China ; Jingshun Liu ; Haojie Wang ; Hong Zhou

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.

Published in:

Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference on  (Volume:2 )

Date of Conference:

26-27 Aug. 2011