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数据挖掘技术及其在高校教学系统中的应用 被引量:49

Data Mining Technology and Its Application in University Education System
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摘要 分析和指出了现有一些关联规则算法的优缺点,并进行改进,对教学信息库进行 数据挖掘,寻找高校教学体制中各因素间的关联关系,为高校管理决策提供了科学依据? The advantages and the disadvantages of some algorithms of associati on rules are analyzed and pointed out. And some improvements are made to the exi sting algorithms. Finally, this paper uses it to mine knowledge in education dat abases, and to discover the association among different elements in education sy stem in university, which provides a scientific basis for college management and decision making.
出处 《计算机工程》 CAS CSCD 北大核心 2003年第11期87-89,共3页 Computer Engineering
关键词 数据挖掘 关联规则 频繁项集 Data mining Association rule Frequent_itemsets
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参考文献4

  • 1范明 孟小峰.数据挖掘概念与技术[M].北京:机械工业出版社,2001..
  • 2Fayyad U. Knowledge Discovery and Data Mining Towards a Unifying Framework. KDD96Proc.2 nd Intl.Conf.on Knowledge Discovery & Data Mining, AAAI Press,1996.
  • 3Chen M S, Han J, Yu P S. Data Miaing: An Overview from a Database Perspective. IEEE Trans. on Knowledge and Data Eng.,1996,8(6): 866-883.
  • 4Savasere A, Edward Omiecinski,Navathe S. An Efficient Algorithm for Mining Association Rules in Large Database[A].Proceeding of the 21st Internation Conference on Very Large Database[C]. Zurich,Switzerland: Morgan Kaufmann Publiaher,Inc., 1995:432-444.

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