Obtaining expert system rules using data mining tools from a power generation database

被引：8

作者：

Mejia-Lavalle, M ^{[1
]}

Rodriguez-Ortiz, G ^{[1
]}

机构：

[1] Inst Invest Elect, Unidad Sistemas Informat, Temixco 62490, Morelos, Mexico

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 1998年 / 14卷 / 1-2期

关键词：

D O I：

10.1016/S0957-4174(97)00073-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Four data mining tools were applied and evaluated on a real power generation database with thermoelectric and hydroelectric mexican utilities information from years 1988 to 1995. In this paper we present the results obtained using the tools C4.5, CN2, FOIL and PEELS. We evaluated accuracy, knowledge amount reduction and processing time. Additionally, we describe the expert system rules (extracted knowledge) and we propose an architecture of an integrated knowledge discovery system for this power generation database. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：37 / 42

页数：6

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