计算机与现代化 ›› 2009, Vol. 1 ›› Issue (10): 98-3.doi: 10.3969/j.issn.1006-2475.2009.10.028

• 图像处理 • 上一篇    下一篇

关联规则在图像数据挖掘中的应用

黄秋勇1,2,唐爱龙1   

  1. 1.柳州师范高等专科学校数学与计算机科学系,广西 柳州 545004;2.中国人民大学信息学院,北京 100872
  • 收稿日期:2009-06-23 修回日期:1900-01-01 出版日期:2009-10-15 发布日期:2009-10-15

Application of Association Rules in Image Data Mining

HUANG Qiu-yong1,2, TANG Ai-long1   

  1. 1.Mathematics and Computer Science Department, Liuzhou Teachers College, Liuzhou 545004, China;2.School of Information, Renmin University of China, Beijing 100872, China
  • Received:2009-06-23 Revised:1900-01-01 Online:2009-10-15 Published:2009-10-15

摘要:

首先分析传统用在挖掘结构化数据关联规则的基本思想,然后分析图像数据的特征,找出图像数据与传统结构化数据的区别,最后结合图像数据的特性将传统的关联规则进行改进,并将它应用在图像数据挖掘中,挖掘出图像数据的相关性。

关键词: 关联规则, 图像数据挖掘, 项集, 描述集, 支持度

Abstract:

This paper first analyzes traditional structure used in data mining of association rules of the basic idea. And then analyzes the characteristics of image data, and identifies the image data with the traditional distinction between structured data. Finally, improves the characteristics of image data combined with the traditional association rules. Applicating in image data mining, it can dig out the relevance of image data.

Key words: association rules, image data mining, itemset, description set, support