Object structure

Title:

Feature Selection Based on the AIC Helpfulness Criterion

Subtitle:

Raport Badawczy = Research Report ; RB/47/2011

Creator:

Ostrycharz, Małgorzata. Autor ; Grzegorzewski, Przemysław Wojciech. Autor

Publisher:

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

Place of publishing:

Warszawa

Date issued/created:

2011

Description:

16 pages ; 21 cm ; Bibliography p. 16

Subject and Keywords:

Data mining ; Eksploracja danych ; Feature selection ; Wybór funkcji ; Akaike criterion ; Data sets ; Kryterium akaikego ; Zbiór danych ; Aic ; Kryterium informacyjne akaikego

Abstract:

An experimental approach to feature selection suggested in the paper is based on so-called AIC Improvement Matrices, which describe the situation in the whole feature set. Besides paying attention to AIC selection algorithms refer also to correlation between features in the data set.

Relation:

Raport Badawczy = Research Report

Resource Type:

Report

Source:

RB-2011-47

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.

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