A New Algorithm Based on Variable Precision Rough Set to Deal With Noise Data in Data Mining

被引：0

作者：

Yang, Yong ^{[1
]}

机构：

[1] CNPC Guangzhou Training Ctr, Dept Informat Management, Guangzhou, Guangdong, Peoples R China

来源：

PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL ENGINEERING, VOLS I AND II | 2010年

关键词：

variable precision rough set; attribute reduction; attribute significance;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The noise data processing in data mining is a very important issue. In this paper a variable precision rough set model is proposed to deal with noise data. Based on variable precision rough set theory, we analyze the attribute significance from the point of dependence rate, and propose two kinds of heuristic algorithms; one computes core set firstly, then reduces the attributes; the other one abandons computation for a core and reduces attributes directly. Finally, we use an actual example which applies the second algorithm to verify it.

引用

页码：1122 / 1125

页数：4

共 6 条

[1]

CAI N, 2007, CONTROL ENG, V14, P504

[2]

LIU Y, 2008, INTELLIGENCE MAGAZIN, V5, P55

[3] ROUGH SETS [J].

PAWLAK, Z .

INTERNATIONAL JOURNAL OF COMPUTER & INFORMATION SCIENCES, 1982, 11 (05) :341-356

[4]

Pawlak Z., 1991, Theoretical Aspects of Reasoning About Data, Rough sets, DOI [10.1007/978-94-011-3534-4, DOI 10.1007/978-94-011-3534-4]

[5]

ZHOU A, 2009, COMPUTER TECHNOLOGY, V6, P35

[6] VARIABLE PRECISION ROUGH SET MODEL [J].

ZIARKO, W .

JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 1993, 46 (01) :39-59

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