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基于FP-growth算法的学生选课关联规则分析 被引量:1

Association Rules Analysis in Students' Course Selection Based on FP-growth Algorithm
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摘要 关联规则技术是数据挖掘的最重要的组成部分之一,它用于发现大量数据中项集之间的有意义的关联和相关联系。本文介绍了使用关联规则挖掘算法FP-growth分析学生选课数据的方法。 Association Rules is the most important components of data mining technology, it is used to be found the correlation between the meaningful and relevant connection in a large quantity of data.This paper introduces the application methods of association Rules in students' course selection based on FP-growth algorithm.
机构地区 安阳师范学院
出处 《电脑知识与技术(过刊)》 2009年第8X期6355-6357,共3页 Computer Knowledge and Technology
关键词 学生选课 数据挖掘 关联规则 FP-GROWTH course selection data mining association rule FP-growth
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参考文献3

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