Feature Selection in Decision Systems with Constraints

被引：4

作者：

Nguyen, Sinh Hoa ^{[1
,2
]}

Szczuka, Marcin ^{[1
]}

机构：

[1] Univ Warsaw, Inst Informat, Banacha 2, PL-02097 Warsaw, Poland

[2] Polish Japanese Acad Informat Technol, Koszykowa 86, PL-02008 Warsaw, Poland

来源：

ROUGH SETS, (IJCRS 2016) | 2016年 / 9920卷

关键词：

Rough sets; Decision system; Reduct; Sensor stream mining; REDUCTS;

D O I：

10.1007/978-3-319-47160-0_49

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the paper we discuss an attribute reduction problem for a decision system with constraints. We present a new concept of decision system with constraints and a concept of constrained reduct defined for decision system with constraints. We define the problem of feature reduction for such constrained system and propose some heuristics or constrained reduct calculation and feature selection. We illustrate possible benefits of the proposed approach with an example based on the stream data obtained from sensor arrays in a coal mines.

引用

页码：537 / 547

页数：11

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