h1

h2

h3

h4

h5
h6
000976444 001__ 976444
000976444 005__ 20260127081413.0
000976444 0247_ $$2ISSN$$a2212-8271
000976444 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85173579019
000976444 0247_ $$2doi$$a10.1016/j.procir.2023.06.188
000976444 0247_ $$2datacite_doi$$a10.18154/RWTH-2024-00242
000976444 037__ $$aRWTH-2024-00242
000976444 041__ $$aEnglish
000976444 082__ $$a670
000976444 1001_ $$aMende, Hendrik$$b0$$eCorresponding author
000976444 1112_ $$a16. CIRP Conference on Intelligent Computation in Manufacturing Engineering$$conline$$d2022-07-13 - 2022-07-15$$gCIRP ICME 2022
000976444 245__ $$aOn the importance of domain expertise in feature engineering for predictive product quality in production$$honline
000976444 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2023
000976444 3367_ $$00$$2EndNote$$aJournal Article
000976444 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
000976444 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$mcontrib
000976444 3367_ $$2BibTeX$$aARTICLE
000976444 3367_ $$2DRIVER$$aarticle
000976444 3367_ $$2DataCite$$aOutput Types/Journal article
000976444 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000976444 500__ $$aKonferenzort: Naples, Italy
000976444 588__ $$aDataset connected to CrossRef, Journals: publications.rwth-aachen.de
000976444 591__ $$aGermany
000976444 653_7 $$aDomain Expertise
000976444 653_7 $$aFeature Engineering
000976444 653_7 $$aFeature Selection
000976444 653_7 $$aMachine Learning
000976444 653_7 $$aOPTKTF100
000976444 653_7 $$aProduct Quality
000976444 653_7 $$aProduction
000976444 7001_ $$aFrye, Maik$$b1
000976444 7001_ $$aVogel, Paul-Alexander$$b2
000976444 7001_ $$aKiroriwal, Saksham$$b3
000976444 7001_ $$0P:(DE-82)IDM00865$$aSchmitt, Robert H.$$b4$$urwth
000976444 7001_ $$0P:(DE-82)IDM03332$$aBergs, Thomas$$b5$$urwth
000976444 770__ $$a16th CIRP Conference on Intelligent Computation in Manufacturing Engineering / edited by Roberto Teti, Doriana D'Addona
000976444 773__ $$0PERI:(DE-600)2674706-6$$a10.1016/j.procir.2023.06.188$$p1096-1101$$tProcedia CIRP$$v118$$x2212-8271$$y2023
000976444 8564_ $$uhttps://publications.rwth-aachen.de/record/976444/files/976444.pdf$$yOpenAccess
000976444 909CO $$ooai:publications.rwth-aachen.de:976444$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000976444 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM00865$$aRWTH Aachen$$b4$$kRWTH
000976444 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM03332$$aRWTH Aachen$$b5$$kRWTH
000976444 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
000976444 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000976444 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-08-31
000976444 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
000976444 9201_ $$0I:(DE-82)417200_20140620$$k417200$$lWerkzeugmaschinenlabor WZL der RWTH Aachen$$x0
000976444 9201_ $$0I:(DE-82)417410_20140620$$k417410$$lLehrstuhl für Technologie der Fertigungsverfahren$$x1
000976444 9201_ $$0I:(DE-82)053200_20140620$$k053200$$lFraunhofer-Institut für Produktionstechnologie - IPT$$x2
000976444 9201_ $$0I:(DE-82)417510_20140620$$k417510$$lLehrstuhl für Fertigungsmesstechnik und Qualitätsmanagement$$x3
000976444 961__ $$c2024-01-09T08:08:30.672348$$x2024-01-09T08:08:30.672348$$z2024-01-09
000976444 9801_ $$aFullTexts
000976444 980__ $$aI:(DE-82)053200_20140620
000976444 980__ $$aI:(DE-82)417200_20140620
000976444 980__ $$aI:(DE-82)417410_20140620
000976444 980__ $$aI:(DE-82)417510_20140620
000976444 980__ $$aUNRESTRICTED
000976444 980__ $$aVDB
000976444 980__ $$acontrib
000976444 980__ $$ajournal