Study on Mining Theories of Association Rules and Its Application

被引：1
|
作者：
Xing Xue [1 ,2 ]
Chen Yao [1 ,2 ]
Wang Yan-en [3 ]
机构：
[1] XiAN Univ Architecture & Technol, Sch Management, Xian, Peoples R China
[2] Shangluo Univ, Dept Comp Sci, Shangluo, Peoples R China
[3] Northwestern Polytech Univ, Sch Mechatron, Xian, Peoples R China
来源：
2010 INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING AND COMMUNICATION AND 2010 ASIA-PACIFIC CONFERENCE ON INFORMATION TECHNOLOGY AND OCEAN ENGINEERING: CICC-ITOE 2010, PROCEEDINGS | 2010年
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
association rules; application; software; examination paper evaluation system;
D O I：
10.1109/CICC-ITOE.2010.32
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper focus on the association rules which applied in data mining that aims to analyze large source data and reveal knowledge hidden in the database. The paper presents the principle of association rules in data mining. It has been viewed as an important evolution in information processing. This paper applies association rules mining to the software of examination paper evaluation system, obtaining the useful information which is hidden in the database. It's concluded that the algorithm provides a valuable analysis of information to the examination paper evaluation system.
引用
收藏
页码：94 / 97
页数：4
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