| 基于改进的Apriori算法的学位预警应用研究 |
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| 引用本文： | 曹 莹,苗志刚,张红霞.基于改进的Apriori算法的学位预警应用研究[J].电脑开发与应用,2014(6):1-3. |
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| 作者姓名： | 曹 莹 苗志刚 张红霞 |
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| 作者单位： | 河北金融学院信息管理与工程系,河北保定071051 |
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| 基金项目： | 河北省教育厅青年基金课题（Q2012052）基于预处理算法的Apriori数据挖掘算法的改进研究;河北省科技厅（13210329）基于数据挖掘技术的河北省小额贷款风险预警研究. |
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| 摘 要： | 分析了基于关联规则的数据挖掘技术原理,描述了经典的Apriori算法的原理及在实际应用中的弊端,并在此基础上运用精减频繁项集、运用多关键字排序重排频繁项集、压缩数据库方式以及算法中止条件方面对Apriori算法进行改进,并成功应用于高校学位预警系统中。
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| 关 键 词： | Apriori算法 关联规则 数据挖掘 多关键字排序 学位预警 |
Application Research about Degree Warning Based on Improved Apriori Algorithm |
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| CAO Ying,MIAO Zhi-gang,ZHANG Hong-xia.Application Research about Degree Warning Based on Improved Apriori Algorithm[J].Computer Development & Applications,2014(6):1-3. |
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| Authors: | CAO Ying MIAO Zhi-gang ZHANG Hong-xia |
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| Affiliation: | ( Heibei Finance University,Information Management and Engineering Department,Baoding 071051, China) |
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| Abstract: | This paper analyzes the principle of data mining techniques based on association rules, and describes the princilpe and disadvantages about the classic Apriori algorithm in practical application. The improved Apriori algorithm is gived that reducing frequent itemsets, rearranging frequent itemsets based on multi-keyword sort ,compressing database and abort Apriori algorithm according to frequent itemsets number. The improved Apriori algorithm is successfully used in early warning system about college degree. |
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| Keywords: | Apriori algorithm association rules data mining multi-keyword sort degree warning |
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