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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F08%3A00145875%21RIV13-MSM-21230___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
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 known curse 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 their influence 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 results several datasets has been tested - for example well known Iris dataset or realworld application for medical data (e.g. EEG classification). 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 known curse 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 their influence 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 results several datasets has been tested - for example well known Iris dataset or realworld application for medical data (e.g. EEG classification).
dcterms:title
Basic Data Reduction Techniques and Their Influence on GAME Modeling Method Basic Data Reduction Techniques and Their Influence on GAME Modeling Method
skos:prefLabel
Basic Data Reduction Techniques and Their Influence on GAME Modeling Method Basic Data Reduction Techniques and Their Influence on GAME Modeling Method
skos:notation
RIV/68407700:21230/08:00145875!RIV13-MSM-21230___
n3:aktivita
n9:Z n9:S n9:P
n3:aktivity
P(KJB201210701), S, Z(MSM6840770012)
n3:dodaniDat
n20:2013
n3:domaciTvurceVysledku
n7:7035586 n7:3271404
n3:druhVysledku
n22:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
357652
n3:idVysledku
RIV/68407700:21230/08:00145875
n3:jazykVysledku
n21:eng
n3:klicovaSlova
Data Reduction; GAME; Real data application
n3:klicoveSlovo
n5:Data%20Reduction n5:Real%20data%20application n5:GAME
n3:kontrolniKodProRIV
[B8C053C7AB38]
n3:mistoKonaniAkce
Cambridge
n3:mistoVydani
Los Alamitos
n3:nazevZdroje
Proceedings of UKSIM Tenth International Conference on Computer Modelling and Simulation
n3:obor
n16:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n18:KJB201210701
n3:rokUplatneniVysledku
n20:2008
n3:tvurceVysledku
Šnorek, Miroslav Čepek, Miroslav
n3:typAkce
n8:WRD
n3:wos
000304857300025
n3:zahajeniAkce
2008-04-01+02:00
n3:zamer
n19:MSM6840770012
s:numberOfPages
6
n15:hasPublisher
IEEE Computer Society
n11:isbn
0-7695-3114-8
n12:organizacniJednotka
21230