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  • 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). (en)
Title
  • Basic Data Reduction Techniques and Their Influence on GAME Modeling Method
  • Basic Data Reduction Techniques and Their Influence on GAME Modeling Method (en)
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  • Basic Data Reduction Techniques and Their Influence on GAME Modeling Method
  • Basic Data Reduction Techniques and Their Influence on GAME Modeling Method (en)
skos:notation
  • RIV/68407700:21230/08:00145875!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(KJB201210701), S, Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 357652
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:00145875
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Data Reduction; GAME; Real data application (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B8C053C7AB38]
http://linked.open...v/mistoKonaniAkce
  • Cambridge
http://linked.open...i/riv/mistoVydani
  • Los Alamitos
http://linked.open...i/riv/nazevZdroje
  • Proceedings of UKSIM Tenth International Conference on Computer Modelling and Simulation
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Čepek, Miroslav
  • Šnorek, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000304857300025
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 0-7695-3114-8
http://localhost/t...ganizacniJednotka
  • 21230
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