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Methodological Assessment of Data Suitability for Defect Prediction

; ; ;

In
Quality innovation prosperity : QIP = Kvalita inovácia prosperita 24(2), Seiten/Artikel-Nr.:170-185

ImpressumKosice

ISSN1338-984X

Online
DOI: 10.18154/RWTH-2020-08687
DOI: 10.12776/qip.v24i2.1443

URL: https://publications.rwth-aachen.de/record/795967/files/795967.pdf

Einrichtungen

  1. Lehrstuhl für Fertigungsmesstechnik und Qualitätsmanagement (417510)
  2. Werkzeugmaschinenlabor WZL der RWTH Aachen (417200)
  3. Internet of Production (080067)

Projekte

  1. WS-B3.II - Short-term Production Management (X080067-WS-B3.II) (X080067-WS-B3.II)
  2. EXC 2023: Internet of Production (IoP) (390621612) (390621612)

Thematische Einordnung (Klassifikation)
DDC: 330

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85090540925
WOS Core Collection: WOS:000557033500011

Interne Identnummern
RWTH-2020-08687
Datensatz-ID: 795967

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Emerging Sources Citation Index ; SCOPUS ; Web of Science Core Collection
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Faculty of Mechanical Engineering (Fac.4)
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417200
080067
417510
 Record created 2020-08-25, last modified 2021-05-07
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