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基于Apriori算法的高校招生的关联规则分析

赵祖应 丁勇 潘明波

微型机与应用Issue(5):87-89,3.
微型机与应用Issue(5):87-89,3.

基于Apriori算法的高校招生的关联规则分析

The analysis for association rules in university enrollment based on Apriori algorithm

赵祖应 1丁勇 1潘明波1

作者信息

  • 1. 云南工商学院,云南 昆明 651701
  • 折叠

摘要

Abstract

Data mining technology is an emerging discipline in recent years, which meets the requirement to extract information from massive database. It is some sort of inter-discipline combined with statistics, machine-learning, database, pattern recognition, artificial intelligence and others. The data mining technology has been mostly applied for the financial sector , while in other areas there is not used a lot, especially in enrollment in colleges and universities. The further research of data mining technology on enrollment of colleges and universities will achieve more attention. In this paper, we are going to analyze association rules of enrollment based on the college admissions information; therefore, we are to do further research on the application of association rules.

关键词

关联规则/Apriori 算法/置信度/支持度/建模

Key words

association rules/apriori algorithm/confidence/support/modeling

分类

计算机与自动化

引用本文复制引用

赵祖应,丁勇,潘明波..基于Apriori算法的高校招生的关联规则分析[J].微型机与应用,2014,(5):87-89,3.

基金项目

云南省教育厅科研项目 ()

微型机与应用

2097-1788

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