| Apriori算法的分析及应用 |
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| 引用本文： | 刘耀南.Apriori算法的分析及应用[J].佛山科学技术学院学报(自然科学版),2012,30(3):70-74. |
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| 作者姓名： | 刘耀南 |
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| 作者单位： | 嘉应学院继续教育学院,广东梅州,514015 |
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| 基金项目： | 梅州市与嘉应学院联合自然科学基金重点资助项目 |
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| 摘 要： | 关联规则是数据挖掘领域中最重要的研究内容,能够在数据库中发现频繁模式和关联知识。对关联规则及其相关挖掘算法Apriori进行了分析,指出了Apriori算法存在的缺点。通过基于预处理的改进Apriori算法在高校教学评价中的应用,说明数据挖掘过程,分析挖掘结果,最后指出了未来的研究方向。
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| 关 键 词： | 数据挖掘 关联规则 Apriori算法 |
The analysis and application of Apriori algorithm |
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| LIU Yao-nan.The analysis and application of Apriori algorithm[J].Journal of Foshan University(Natural Science Edition),2012,30(3):70-74. |
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| Authors: | LIU Yao-nan |
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| Institution: | LIU Yao-nan(Continuing Education College,Jiaying University,Meizhou 514015,China) |
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| Abstract: | Association rules which are considered the most important aspect in the research of data mining can find the frequent pattern and the relevant algorithm.This paper analyzed the relevant algorithm of Apriori and found some weaknesses existing in the rules.In order to illustrate the process of data mining and analyze the result,the application of the preprocessing improved Apriori Algorithm to the teaching evaluation in higher education was taken as an example.The paper finally give some suggestions for the future research in this field. |
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| Keywords: | data mining association rules Apriori algorithm |
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