ON THE APPLICATION OF ROUGH SETS TO DATA MINING IN ECONOMIC PRACTICE

被引：2

作者：

Zhang, Qun-Feng ^{[1
]}

Zhao, Su-Yun ^{[1
]}

Bai, Yun-Chao ^{[2
]}

机构：

[1] Hebei Univ, Coll Math & Comp Sci, Key Lab Machine Learning & Computat Intelligence, Baoding 071002, Peoples R China

[2] Hebei Univ, Coll Econ, Baoding 071002, Peoples R China

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

关键词：

Data mining; Rough sets; Reducts; Fuzzy variable precision rough sets;

D O I：

10.1109/ICMLC.2009.5212452

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Mathematical models play an important role in the studies of modern economics. But in many fields of economics, it is difficult to build mathematical models for complex phenomena. So data mining is getting more and more popular in discovering the potential pattern of economic knowledge from databases. As a powerful tool for data mining, rough set theory has been widely used. In this research, we draw guidelines from several cases of rough set application in economic practice. Furthermore, to avoid the drawbacks of the existing methods, we develop a methodology for rough analysis in economic sector by combining the advantages of the fuzzy variable precision rough set model.

引用

页码：272 / +

页数：3

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