Basic Data Reduction Techniques and Their Influence on GAME Modeling Method

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A00145875" target="_blank" >RIV/68407700:21230/08:00145875 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Basic Data Reduction Techniques and Their Influence on GAME Modeling Method

Popis výsledku v původním jazyce

The amount of data produced by medicine diagnosis and other means constantly increases - in both number of measurements and in number of dimensions. For many modeling or data mining methods this increase causes problems. First main problem is well knowncurse of dimensionality. The second is the amount of training data items which lengthens the training process. Both these problems reduces usability of modeling methods. The aim of this article is to study several data reduction techniques and test theirinfluence on one particular inductive modeling method - GAME - developed in our department. Application of each method affecting the performance (accuracy) and learning time of the GAME modeling method has been studied. To obtain representative resultsseveral datasets has been tested - for example well known Iris dataset or realworld application for medical data (e.g. EEG classification).

Název v anglickém jazyce

Basic Data Reduction Techniques and Their Influence on GAME Modeling Method

Popis výsledku anglicky

The amount of data produced by medicine diagnosis and other means constantly increases - in both number of measurements and in number of dimensions. For many modeling or data mining methods this increase causes problems. First main problem is well knowncurse of dimensionality. The second is the amount of training data items which lengthens the training process. Both these problems reduces usability of modeling methods. The aim of this article is to study several data reduction techniques and test theirinfluence on one particular inductive modeling method - GAME - developed in our department. Application of each method affecting the performance (accuracy) and learning time of the GAME modeling method has been studied. To obtain representative resultsseveral datasets has been tested - for example well known Iris dataset or realworld application for medical data (e.g. EEG classification).

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

<a href="/cs/project/KJB201210701" target="_blank" >KJB201210701: Automatická extrakce znalostí</a><br>

Návaznosti

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

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of UKSIM Tenth International Conference on Computer Modelling and Simulation

ISBN

0-7695-3114-8

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

138-143

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos

Místo konání akce

Cambridge

Datum konání akce

1. 4. 2008

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000304857300025