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基于本体的关联规则挖掘算法研究
引用本文:庞淑侠,袁占亭,张秋余,李明.基于本体的关联规则挖掘算法研究[J].计算机工程与设计,2006,27(10):1772-1774.
作者姓名:庞淑侠  袁占亭  张秋余  李明
作者单位:兰州理工大学,计算机与通信学院,甘肃,兰州,730050
基金项目:国家专项基金;引进国际先进农业科技计划(948计划)
摘    要:在图像数据库中,针对图像的检索方法很多,但以传统的基于内容的图像检索方法效率低,而且误差较大.提出一种基于OBFM(ontology_based feedback model)方法首先得到基本相似图像库,从中提取相应的特征元素,并在此基础上进行关联规则挖掘.该算法充分考虑了图像具有空间可重复性的特点,从而提高了图像检索的准确率.

关 键 词:图像检索  本体  关联规则
文章编号:1000-7024(2006)10-1772-03
收稿时间:2005-02-26
修稿时间:2005-02-26

Method of mining association rules based on ontology
PANG Shu-xia,YUAN Zhan-ting,ZHANG Qiu-yu,LI Ming.Method of mining association rules based on ontology[J].Computer Engineering and Design,2006,27(10):1772-1774.
Authors:PANG Shu-xia  YUAN Zhan-ting  ZHANG Qiu-yu  LI Ming
Affiliation:Lanzhou University of Science and Technology, Lanzhou 730050, China
Abstract:With the increasing of multimedia information, many papers are focus on image retrieval in several years. But there are always many errors from those. The paper puts forwards to a method based on OBFM, from which approximate image database are rcquired. The features got, association rules are extracted in approximate image database. The character of space reiteration is taken into account by the method. Good results are acquired well and truly.
Keywords:image retrieval  ontology  association rules
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