| 基于粗糙集理论的数据清洗模型 |
| |
| 引用本文： | 黄大荣,黄席樾.基于粗糙集理论的数据清洗模型[J].计算机工程与应用,2004,40(31):164-165,182. |
| |
| 作者姓名： | 黄大荣 黄席樾 |
| |
| 作者单位： | 重庆大学自动化学院,重庆,400044 |
| |
| 摘 要： | 论文在基于粗糙集理论的基础上提出一个大数据系统的数据清洗模型,以利于信息不完备决策问题的实施。模型从给定的初始数据出发,在假定属性的重要性量度σ0的前提下,经过一系列的计算,比较属性实际重要性量度σCD(x)与σ0的大小,由此确定属性x的清洗,然后根据清洗后的数据得出相应的决策规则。并给出一个简单的例子来验证数据清洗模型。
|
| 关 键 词： | 粗糙集 数据清洗 重要性量度 决策系统 |
| 文章编号： | 1002-8331-(2004)31-0164-02 |
Data Cleaning Model Based on Rough Set Theory |
| |
| Huang Darong Huang Xiyue.Data Cleaning Model Based on Rough Set Theory[J].Computer Engineering and Applications,2004,40(31):164-165,182. |
| |
| Authors: | Huang Darong Huang Xiyue |
| |
| Abstract: | This paper presents a data cleaning model of massive data based on rough set theory for executing decision system when information in hand is not perfect.Form the given initial data with provided essentiality measurement σ 0 ,a series of count is executed,hence comparing big betweenσ CD (x)andσ 0 ,meanwhile deciding to accept or give up the x.A simple example on validating the model is given. |
| |
| Keywords: | rough set data cleaning model essentiality measurement decision system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
