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基于FP-growth算法的学生选课关联规则分析
引用本文:张志彦,黄永灿. 基于FP-growth算法的学生选课关联规则分析[J]. 数字社区&智能家居, 2009, 0(23)
作者姓名:张志彦  黄永灿
作者单位:安阳师范学院;
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。

关 键 词:学生选课  数据挖掘  关联规则  FP-growth  

Association Rules Analysis in Students' Course Selection Based on FP-growth Algorithm
ZHANG Zhi-yan,HUANG Yong-can. Association Rules Analysis in Students' Course Selection Based on FP-growth Algorithm[J]. Digital Community & Smart Home, 2009, 0(23)
Authors:ZHANG Zhi-yan  HUANG Yong-can
Affiliation:Anyang Normal University;Anyang 455000;China
Abstract: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.
Keywords:course selection  data mining  association rule  FP-growth  
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