Research of Improved Attribute Reduction Algorithm Based on Data Mining of Rough Set

De Zhi An; Guang Li Wu; Jun Lu

doi:10.4028/www.scientific.net/AMM.644-650.2120

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Research of Improved Attribute Reduction Algorithm...

Research of Improved Attribute Reduction Algorithm Based on Data Mining of Rough Set

Abstract:

At present there are many data mining methods. This paper studies the application of rough set method in data mining, mainly on the application of attribute reduction algorithm based on rough set in the data mining rules extraction stage. Rough set in data mining is often used for reduction of knowledge, and thus for the rule extraction. Attribute reduction is one of the core research contents of rough set theory. In this paper, the traditional attribute reduction algorithm based on rough sets is studied and improved, and for large data sets of data mining, a new attribute reduction algorithm is proposed.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2120-2123

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2120

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Online since:

September 2014

Authors:

De Zhi An*, Guang Li Wu, Jun Lu

Keywords:

Attribute Reduction, Data Mining (DM), Rough Set (RS)

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* - Corresponding Author

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