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System Development & Application
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148-152

Dimension reduction for information tables based on knowledge partition of neighborhood rough set

Peng Xiaorana
Liu Zunrenb
Ji Junb
a. College of Data Science & Software Engineering, b. College of Computer Science & Technology, Qingdao University, Qingdao Shandong 266071, China

Abstract

Knowledge reduction of Pawlak rough set includes two parts: knowledge reduction for decision tables and know-ledge reduction for information tables. As an extension of Pawlak rough set, neighborhood rough set is widely applied to attri-bute reduction for decision tables, but rarely applied to attribute reduction for information tables. In order to design an attri-bute reduction algorithm suitable for information tables, this paper first proposed a knowledge reduction criterion of neighborhood rough set for information tables based on the knowledge reduction criterion of Pawlak rough set. Then, according to this criterion, this paper proposed a new attribute reduction algorithm for information tables with greedy strategy, which was applicable to clustering. Compared with PCA algorithm, the experimental results show that by using the proposed algorithm to reduce dimensions of data sets, the number of attributes in the reduction sets is more, and the accuracy of K-means algorithm is higher according to the reduction sets. It proves that the proposed algorithm can be effectively applied to attribute reduction for information tables.

Foundation Support

国家自然科学基金资助项目(61503208)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.06.0650
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: System Development & Application
Pages: 148-152
Serial Number: 1001-3695(2019)01-034-0148-05

Publish History

[2019-01-05] Printed Article

Cite This Article

彭潇然, 刘遵仁, 纪俊. 基于邻域粗糙集下知识划分的信息表降维 [J]. 计算机应用研究, 2019, 36 (1): 148-152. (Peng Xiaoran, Liu Zunren, Ji Jun. Dimension reduction for information tables based on knowledge partition of neighborhood rough set [J]. Application Research of Computers, 2019, 36 (1): 148-152. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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