About: Boolean factor analysis for data preprocessing in machine learning

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Boolean factor analysis for data preprocessing in machine learning Goto Sponge NotDistinct Permalink

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

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We present two input data preprocessing methods for machine learning (ML). 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. The methods utilize formal concept analysis (FCA) and boolean factor analysis, recently described by FCA, in that the new attributes are defined by so-called factor concepts computed from input data table. The methods are demonstrated on 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. We present two input data preprocessing methods for machine learning (ML). 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. The methods utilize formal concept analysis (FCA) and boolean factor analysis, recently described by FCA, in that the new attributes are defined by so-called factor concepts computed from input data table. The methods are demonstrated on 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	Boolean factor analysis for data preprocessing in machine learning Boolean factor analysis for data preprocessing in machine learning (en)
skos:prefLabel	Boolean factor analysis for data preprocessing in machine learning Boolean factor analysis for data preprocessing in machine learning (en)
skos:notation	RIV/61989592:15310/10:10216523!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	249131
http://linked.open...ai/riv/idVysledku	RIV/61989592:15310/10:10216523
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	formal concept; matrix decomposition; decision trees; machine learning; data preprocessing (en)
http://linked.open.../riv/klicoveSlovo	decision trees matrix decomposition data preprocessing machine learning formal concept
http://linked.open...ontrolniKodProRIV	[098262182131]
http://linked.open...v/mistoKonaniAkce	Washington, D.C., USA
http://linked.open...i/riv/mistoVydani	Washington DC
http://linked.open...i/riv/nazevZdroje	Proceedings of ICMLA 2010
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	2010-12-12 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-0-7695-4300-0
http://localhost/t...ganizacniJednotka	15310

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software