About: Preprocessing input data for machine learning by FCA

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The paper presents an utilization of formal concept analysis in input data preprocessing for machine learning. Two preprocessing methods are presented. The first one consists in extending the set of attributes describing objects in input data table by new attributes and the second one consists in replacing the attributes by new attributes. In both methods the new attributes are defined by certain formal concepts computed from input data table. Selected formal concepts are so-called factor concepts obtained by boolean factor analysis, recently described by FCA. The ML method used to demonstrate the ideas is decision tree induction. The experimental evaluation and comparison of performance of decision trees induced from original and preprocessed input data is performed with standard decision tree induction algorithms ID3 and C4.5 on several benchmark datasets. The paper presents an utilization of formal concept analysis in input data preprocessing for machine learning. Two preprocessing methods are presented. The first one consists in extending the set of attributes describing objects in input data table by new attributes and the second one consists in replacing the attributes by new attributes. In both methods the new attributes are defined by certain formal concepts computed from input data table. Selected formal concepts are so-called factor concepts obtained by boolean factor analysis, recently described by FCA. The ML method used to demonstrate the ideas is decision tree induction. The experimental evaluation and comparison of performance of decision trees induced from original and preprocessed input data is performed with standard decision tree induction algorithms ID3 and C4.5 on several benchmark datasets. (en)
Title	Preprocessing input data for machine learning by FCA Preprocessing input data for machine learning by FCA (en)
skos:prefLabel	Preprocessing input data for machine learning by FCA Preprocessing input data for machine learning by FCA (en)
skos:notation	RIV/61989592:15310/10:10216519!RIV11-GA0-15310___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GPP202/10/P360)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Outrata, Jan
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	Univerzita Palackého v Olomouci / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	281422
http://linked.open...ai/riv/idVysledku	RIV/61989592:15310/10:10216519
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	formal concept analysis; matrix decomposition; decision trees; machine learning; data preprocessing (en)
http://linked.open.../riv/klicoveSlovo	decision trees formal concept analysis matrix decomposition data preprocessing machine learning
http://linked.open...ontrolniKodProRIV	[D999576B1478]
http://linked.open...v/mistoKonaniAkce	Sevilla, Španělsko
http://linked.open...i/riv/mistoVydani	Sevilla
http://linked.open...i/riv/nazevZdroje	Proceedings of the 7th International Conference on Concept Lattices and Their Applications
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Classification with use of formal concept analysis
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	OUTRATA, Jan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-10-19 (xsd:date)
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	University of Sevilla
https://schema.org/isbn	978-84-614-4027-6
http://localhost/t...ganizacniJednotka	15310

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