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ASME Press Select Proceedings

International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)

By
Xie Yi
Xie Yi
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ISBN:
9780791802977
No. of Pages:
2012
Publisher:
ASME Press
Publication date:
2009

Based on analyzing the traditional association rules algorithm, an improved association rules Data Mining Algorithm is presented in this paper. The advantages of presented algorithm are fast removing redundant rules and not by the frequent items, so it is suitable for the massive data mining based on association rules. In view of the current large number of college students admitted after the loss of the candidates, some college enrollment data was mined based on the proposed algorithm. The results show that the proposed algorithm can mine useful information and play an important role in college enrolling affairs.

Abstract
Key Words
1 Introduction
2 Data Mining Association Rules in Technology
3 An Improved Algorithm for Mining Association Rules
4 Students Enrolled in Colleges and Universities of Applied Research
5 Conclusions
References
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