首页> 外文会议>2012 International Conference on Image Analysis and Signal Processings. >A research of progressive association rules mining algorithm based on image content
【24h】

A research of progressive association rules mining algorithm based on image content

机译:基于图像内容的渐进关联规则挖掘算法研究

获取原文
获取原文并翻译 | 示例

摘要

Data mining research and its application is one of the most active branches of the database field, and it is a research hotspot. Multimedia Data Mining MDM has become one of the most challenging areas of information decision area, and many effective association rule mining algorithms have been proposed and improved, but the association rules mining methods and models based on image content are so far different from the ordinary rules because of the complexity of the mining target. The characteristic of two images in a resolution level is the same, but in a finer resolution it is different, so we need a method in which resolution is refined step by step. In this paper, we propose an algorithm of progressive association rules mining based on image content named PARM.
机译:数据挖掘研究及其应用是数据库领域最活跃的分支之一,也是研究热点。多媒体数据挖掘MDM已成为信息决策领域最具挑战性的领域之一,已经提出并改进了许多有效的关联规则挖掘算法,但是基于图像内容的关联规则挖掘方法和模型与普通规则相差甚远。由于采矿目标的复杂性。分辨率级别上的两个图像的特性相同,但在更高分辨率时,则有所不同,因此我们需要一种逐步改善分辨率的方法。本文提出了一种基于图像内容的渐进关联规则挖掘算法PARM。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号