An Incremental Approach for Inducing Knowledge from Dynamic Information Systems

被引：84

作者：

Liu, Dun ^{[1
]}

Li, Tianrui ^{[2
]}

Ruan, Da ^{[3
,4
]}

Zou, Weili ^{[5
]}

机构：

[1] SW Jiatong Univ, Sch Econ & Management, Chengdu 610031, Peoples R China

[2] SW Jiatong Univ, Lab Intelligent Informat Proc, Sch Informat Sci & Technol, Chengdu 610031, Peoples R China

[3] Univ Ghent, Dept Appl Math, B-9000 Ghent, Belgium

[4] Belgian Nucl Res Ctr SCK CEN, B-2400 Mol, Belgium

[5] SW Jiaotong Univ, Sch Math, Chengdu 610031, Peoples R China

来源：

FUNDAMENTA INFORMATICAE | 2009年 / 94卷 / 02期

关键词：

Rough sets; interesting knowledge; accuracy; coverage; dynamic information systems; data mining; ROUGH SETS MODEL; ACQUISITION; RULES;

D O I：

10.3233/FI-2009-129

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Knowledge in an information system evolves with its dynamical environment. A new concept of interesting knowledge based on both accuracy and coverage is defined in this paper for dynamic information systems. An incremental model and approach as well as its algorithm for inducing interesting knowledge are proposed when the object set varies over time. A case study validates the feasibility of the proposed method.

引用

页码：245 / 260

页数：16

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