About: Comparison of Different Non-statistical Classification Methods

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In this article, we aim to compare different methods usable for solving classification problems. A substantial number of methods that are not based on mathematical statistics may be used. Exploring these methods is interesting, because they are often capable of solving problems, which are not easily solvable using classificators based purely on mathematical statistics. There are many approaches available such as support vector machines, neural networks, evolutionary algorithms, parallel coordinates, etc. In this article, we concentrate on describing different neural network approaches, parallel coordinates and genetic algorithms. Neural networks come in many flavors (e.g. multi-layer perceptron, non-linear autoregressive networks) and they have achieved some recognition. Genetic algorithms also have been used for classification many times before, but with mixed results. In this article, we describe and evaluate different capabilities of these methods when used for economic data. This for example includes identification of hidden data structures, dealing with outliers and noise. In this article, we aim to compare different methods usable for solving classification problems. A substantial number of methods that are not based on mathematical statistics may be used. Exploring these methods is interesting, because they are often capable of solving problems, which are not easily solvable using classificators based purely on mathematical statistics. There are many approaches available such as support vector machines, neural networks, evolutionary algorithms, parallel coordinates, etc. In this article, we concentrate on describing different neural network approaches, parallel coordinates and genetic algorithms. Neural networks come in many flavors (e.g. multi-layer perceptron, non-linear autoregressive networks) and they have achieved some recognition. Genetic algorithms also have been used for classification many times before, but with mixed results. In this article, we describe and evaluate different capabilities of these methods when used for economic data. This for example includes identification of hidden data structures, dealing with outliers and noise. (en)
Title	Comparison of Different Non-statistical Classification Methods Comparison of Different Non-statistical Classification Methods (en)
skos:prefLabel	Comparison of Different Non-statistical Classification Methods Comparison of Different Non-statistical Classification Methods (en)
skos:notation	RIV/62156489:43110/12:00190768!RIV13-GA0-43110___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP403/11/2085)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Štencl, Michael Popelka, Ondřej Hodinka, Michal Trenz, Oldřich Hřebíček, Jiří
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Mendelova univerzita v Brně / Provozně ekonomická fakulta
http://linked.open...dnocenehoVysledku	127903
http://linked.open...ai/riv/idVysledku	RIV/62156489:43110/12:00190768
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	corporate performance; parallel coordinates; decision trees; sustainability reporting; neural networks; classification (en)
http://linked.open.../riv/klicoveSlovo	decision trees sustainability reporting classification neural networks parallel coordinates corporate performance
http://linked.open...ontrolniKodProRIV	[B1AC0966BC1C]
http://linked.open...v/mistoKonaniAkce	Karviná
http://linked.open...i/riv/mistoVydani	Karviná
http://linked.open...i/riv/nazevZdroje	Proceedings of the 30th International Conference Mathematical Methods in Economics 2012
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Construction of Methods for Multifactor Assessment of Company complex Performance in Selected Sectors.
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Hodinka, Michal Hřebíček, Jiří Popelka, Ondřej Trenz, Oldřich Štencl, Michael
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-01-01 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Slezská univerzita v Opavě. Obchodně podnikatelská fakulta v Karviné
https://schema.org/isbn	978-80-7248-779-0
http://localhost/t...ganizacniJednotka	43110

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