An Incremental Reduction Algorithm for Decision Table Based on Relationship Matrix

JING Yun-ge; HUANG Jun-fu

Chinese

您当前的位置：

首页 >

文章列表页 >

An Incremental Reduction Algorithm for Decision Table Based on Relationship Matrix

更新时间：2026-09-04

- An Incremental Reduction Algorithm for Decision Table Based on Relationship Matrix
- Vol. 32, Issue 4, Pages: 155-158(2015)
- 作者机构：
  
  1. 1 山西运城学院机构公共计算机教学部,山西,运城,044000
  2. 2 西南交通大学信息科学与技术学院,四川,成都,610031
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
景运革, 黄峻福. 一种基于关系矩阵维度增量式约简算法[J]. 微电子学与计算机, 2015, 32(4): 155-158.

JING Yun-ge, HUANG Jun-fu. An Incremental Reduction Algorithm for Decision Table Based on Relationship Matrix[J]. 2015, 32(4): 155-158.
景运革, 黄峻福. 一种基于关系矩阵维度增量式约简算法[J]. 微电子学与计算机, 2015, 32(4): 155-158. DOI：

JING Yun-ge, HUANG Jun-fu. An Incremental Reduction Algorithm for Decision Table Based on Relationship Matrix[J]. 2015, 32(4): 155-158. DOI：

摘要

目前决策表的数据信息都是动态变化的

为了有效地对这些数据集进行属性约简处理

在改进的等价关系矩阵的基础上

提出一种增量式属性约简算法

决策表增加了一些属性

利用更新前决策表的等价关系矩阵和属性约简等信息

便能快速求解出更新后的决策表属性约简.实验结果进一步验证了该方法的有效性和正确性.

Abstract

Many real data increase dynamically in size. As an effective and efficient mechanism to deal with such data

Incremental algorithms for attribute reduction based on modified equivalence relation matrix are proposed. When a group of attributes are added to a decision table

the algorithm aims to find the new minimal attribute reduction in a much shorter time. Our example illustrate that this algorithm is effective.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Reduction Algorithm of Positive Domain for Decision Table Based on Values Coarsening

Neighborhood entropy attribute reduction based on minimizing neighborhood mutual information

Knowledge granularity incremental attribute reduction algorithm based on neighborhood relation

Research on Hybrid Feature Selection Method in Intrusion Detection

Research on Extracting Ruies in Information System

Related Author

JING Yun-Ge

LIU Zheng

CHEN Xue-qin

ZHANG Shu-feng

CHEN Xi

LIU Jing

LI Yin-huan

ZHONG Yan-hua

Related Institution

1 Department of Public Computer Teaching, Yuncheng College, Yun cheng

2 School of Information Science and Technology, South Southwest Jiaotong University

College of Electronic Information, Suzhou University

College of Information Engineering, Service Outsourcing Vocational College of Suzhou Industrial Park

School of Management, Huazhong University of Science and Technology

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰