| 以互信息为度量的一种规则可视化 |
| |
| 引用本文： | 谢霖铨,章恩.以互信息为度量的一种规则可视化[J].计算机工程与应用,2014,50(17):146-149. |
| |
| 作者姓名： | 谢霖铨 章恩 |
| |
| 作者单位： | 江西理工大学 理学院，江西 赣州 341000 |
| |
| 基金项目： | 国家自然科学基金（No.61364015）. |
| |
| 摘 要： | 概念格是一种有效的知识表示和知识发现的工具，已被成功应用于许多领域，然而在建格上大多是利用最小支持度以及置信度来进行约简操作，同时利用置信度来进行规则提取。提出以信息论的互信息来构造具有强关联规则的Hasse图，并利用互信息进行规则提取。
|
| 关 键 词： | 强关联规则 念格 互信息 规则提取 数据挖据 |
Rules visualization based on metric of mutual information |
| |
| XIE Linquan,ZHANG En.Rules visualization based on metric of mutual information[J].Computer Engineering and Applications,2014,50(17):146-149. |
| |
| Authors: | XIE Linquan ZHANG En |
| |
| Affiliation: | School of Science, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China |
| |
| Abstract: | The concept lattice is an effective tool for knowledge discovering and knowledge processing, which has been successfully applied in many fields. However, lattice constructions with reduction operation are mostly based on mini-mum support and degree of confidence. At the same time, the degree of confidence is used to extract rules. This paper pro-poses the Hasse diagram with strong association which is constructed by the mutual information of information theory, and extracts rules by mutual information. |
| |
| Keywords: | strong association rules concept lattice mutual information rule extraction data mining |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载全文 |
|
