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数据挖掘及其在高校教学系统中的应用 被引量:46

Data Mining and Its Application in University Education System
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摘要 简要介绍了数据挖掘技术 ,详细分析了关联规则挖掘算法。给出了一个完整的数据挖掘系统─教学系统的设计与实现过程。它包括数据的准备与选择、数据的预处理、挖掘算法的选择与实现、挖掘结果的描述四个步骤。文中详细介绍了上述各个步骤的处理过程 ,并增加了兴趣度阈值来提高挖掘的精度 ,为高校管理决策提供了科学依据。 Data mining is a promising new technology to transact information,and becomes an increasing role in utilizing and extracting knowledge.Firstly,the paper introduces the data mining technology briefly,and then analyzes the association rules in detail.An integrated data mining system for education system is presented in this paper.It includes preparation and selection of data,preprocessing,implementation of mining algorithm,description of mining results,etc.All those will be presented in detail.More importantly,it improves the exactness by adding interesting threshold,so provides a scientific basis for college management and decision making.
出处 《济南大学学报(自然科学版)》 CAS 2004年第1期65-68,共4页 Journal of University of Jinan(Science and Technology)
基金 国家 8 63高技术发展计划资助项目 (2 0 0 2AA4Z3 2 40 )
关键词 数据挖掘 关联规则 数据集市 兴趣度 data mining association rules data marketing interesting degree
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