GAME MODEL UTILIZATION FOR FEATURE RANKING AND FEATURE SELECTION

Kód výsledku v IS VaVaI

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RIV/68407700:21240/10:00171876

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

GAME MODEL UTILIZATION FOR FEATURE RANKING AND FEATURE SELECTION

Popis výsledku v původním jazyce

Almost all of Feature Ranking and Feature Selection methods are based on one of the specific approach only (e.g. statistical measure of the data, wrapper ap- proach, etc.). The problem is also in an applicability of these methods. Most of Feature Rankingand Feature Selection methods are designed for categorial data only. Some of them have also its special version for regression problems. In this paper we present modificated approach in methods for Feature Ranking and Fea- ture Selection based on a combination of statistical measure and utilization of data mining model. The main feature of this approach is that the data mining algorithm (GAME) is able to deal with numerical data as well as it can be applied to catego- rial data. It incorporates featureselection mechanism and methods, described in this paper, derive feature ranking from final data mining model.

Název v anglickém jazyce

GAME MODEL UTILIZATION FOR FEATURE RANKING AND FEATURE SELECTION

Popis výsledku anglicky

Almost all of Feature Ranking and Feature Selection methods are based on one of the specific approach only (e.g. statistical measure of the data, wrapper ap- proach, etc.). The problem is also in an applicability of these methods. Most of Feature Rankingand Feature Selection methods are designed for categorial data only. Some of them have also its special version for regression problems. In this paper we present modificated approach in methods for Feature Ranking and Fea- ture Selection based on a combination of statistical measure and utilization of data mining model. The main feature of this approach is that the data mining algorithm (GAME) is able to deal with numerical data as well as it can be applied to catego- rial data. It incorporates featureselection mechanism and methods, described in this paper, derive feature ranking from final data mining model.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the Seventh International Conference on Engineering Computational Technology

ISBN

978-1-905088-39-3

ISSN

1759-3433

e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

Civil-Comp Press Ltd

Místo vydání

Stirling

Místo konání akce

Valencie

Datum konání akce

14. 9. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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