Title:

Argument reduction methods in data mining

Subtitle:

Raport Badawczy = Research Report ; RB/21/2003

Creator:

Sęp, Krzysztof : Autor ; Sapiecha, Piotr : Autor ; Selvaraj, Henry : Autor ; Stańczak, Jarosław : Autor ; Łuba, Tadeusz (1946– ) : Autor

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2003

Description:

[22] pages ; 21 cm ; Bibliography p. [21-22]

Type of object:

Book/Chapter

Subject and Keywords:

Information system ; Argument reduction ; Discernibility matrix ; Discernibility function ; Classification problem ; Fitness functions

Abstract:

Argument reduction methods of the decision tables based on combinatorial algorithms are described in this paper. With the help of these methods, reduction in the size of decision tables can be achieved. A software tool for classification problem is presented in this article. This tool has a hybrid structure which consists of proposed reduction strategies mixed with the classical decision rules generator based on genetic algorithms. This tool achieves significant benefits from argument reduction during the analysis process of data dependencies.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2003-21

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open