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A Generalized Rough Set Approach to Attribute Generalization in Data Mining

西南交通大学学报（英文版）2000，Vol.8Issue(1)：69-75,7.

A Generalized Rough Set Approach to Attribute Generalization in Data Mining

作者信息

1. Department of Applied Mathematics, Southwest Jiaotong University, Chengdu 610031, China;Department of Applied Mathematics, Southwest Jiaotong University, Chengdu 610031, China
折叠

摘要

Abstract

This paper presents a generalized method for updating approximations of a concept incrementally, which can be used as an effective tool to deal with dynamic attribute generalization. By combining this method and the LERS inductive learning algorithm, it also introduces a generalized quasi-incremental algorithm for learning classification rules from data bases.

关键词

rough set/data mining/inductive learning

Key words

rough set/data mining/inductive learning

分类

矿业与冶金

引用本文复制引用

..A Generalized Rough Set Approach to Attribute Generalization in Data Mining[J].西南交通大学学报（英文版）,2000,8(1):69-75,7.

基金项目

The project supported by the National Natural Science Foundation of China. （）

西南交通大学学报（英文版）

ISSN：2662-4745

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