Data mining: theories, algorithms, and examples

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AN OVERVIEW OF DATA MINING METHODOLOGIESIntroduction to data mining methodologiesMETHODOLOGIES FOR MINING CLASSIFICATION AND PREDICTION PATTERNSRegression modelsBayes classifiersDecision treesMulti-layer feedforward artificial neural networksSupport vector machinesSupervised clusteringMETHODOLOGIES...

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Detalles Bibliográficos
Autor principal: Ye, Nong
Lenguaje:eng
Publicado: CRC Press 2013
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2019155
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author Ye, Nong
author_facet Ye, Nong
author_sort Ye, Nong
collection CERN
description AN OVERVIEW OF DATA MINING METHODOLOGIESIntroduction to data mining methodologiesMETHODOLOGIES FOR MINING CLASSIFICATION AND PREDICTION PATTERNSRegression modelsBayes classifiersDecision treesMulti-layer feedforward artificial neural networksSupport vector machinesSupervised clusteringMETHODOLOGIES FOR MINING CLUSTERING AND ASSOCIATION PATTERNSHierarchical clusteringPartitional clusteringSelf-organized mapProbability distribution estimationAssociation rulesBayesian networksMETHODOLOGIES FOR MINING DATA REDUCTION PATTERNSPrincipal components analysisMulti-dimensional scalingLatent variable anal
id cern-2019155
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher CRC Press
record_format invenio
spelling cern-20191552021-04-21T20:18:16Zhttp://cds.cern.ch/record/2019155engYe, NongData mining: theories, algorithms, and examplesComputing and ComputersAN OVERVIEW OF DATA MINING METHODOLOGIESIntroduction to data mining methodologiesMETHODOLOGIES FOR MINING CLASSIFICATION AND PREDICTION PATTERNSRegression modelsBayes classifiersDecision treesMulti-layer feedforward artificial neural networksSupport vector machinesSupervised clusteringMETHODOLOGIES FOR MINING CLUSTERING AND ASSOCIATION PATTERNSHierarchical clusteringPartitional clusteringSelf-organized mapProbability distribution estimationAssociation rulesBayesian networksMETHODOLOGIES FOR MINING DATA REDUCTION PATTERNSPrincipal components analysisMulti-dimensional scalingLatent variable analCRC Pressoai:cds.cern.ch:20191552013
spellingShingle Computing and Computers
Ye, Nong
Data mining: theories, algorithms, and examples
title Data mining: theories, algorithms, and examples
title_full Data mining: theories, algorithms, and examples
title_fullStr Data mining: theories, algorithms, and examples
title_full_unstemmed Data mining: theories, algorithms, and examples
title_short Data mining: theories, algorithms, and examples
title_sort data mining: theories, algorithms, and examples
topic Computing and Computers
url http://cds.cern.ch/record/2019155
work_keys_str_mv AT yenong dataminingtheoriesalgorithmsandexamples

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