Noise Models in Inductive Concept Formation

被引：0

作者：

Fomina, Marina V. ^{[1
]}

Eremeev, Alexander P. ^{[1
]}

Vagin, Vadim V. ^{[1
]}

机构：

[1] Tech Univ, Moscow Pover Engn Inst, Moscow, Russia

来源：

ICEIS: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 1 | 2013年

关键词：

Knowledge Acquisition; Information Generalization; Data Mining; Knowledge Discovery; Decision Tree; Noise Model; Learning Sample;

D O I：

10.5220/0004420104440450

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of information generalization with account for the necessity of processing the information stored in real data arrays which may contain noise is considered. Noise models are presented, and a noise effect on the operation of generalization algorithms using the methods of building decision trees and forming production rules is developed. The results of program modeling are brought about.

引用

页码：444 / 450

页数：7

共 26 条

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