Big Data in der Prozessindustrie: Frühzeitige Erkennung und Entscheidungsunterstützung

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributed

Contributors

  • Sebastian Heinze - , Chair of Process Control Systems (Author)
  • Markus Graube - , Chair of Process Control Systems (Author)
  • Luise Schegner - , Process Systems Engineering Group (Author)
  • Leon Urbas - , Chair of Process Control Systems (Author)
  • David Arnu - , RapidMiner GmbH (Author)
  • Ralf Klinkenberg - , RapidMiner GmbH (Author)
  • Andreas Schmidt - , University of Kassel (Author)
  • Martin Atzmüller - , University of Kassel (Author)
  • Hassan Al Mawla - , University of Kassel (Author)
  • Alexander Rehmer - , University of Kassel (Author)
  • Andreas Kroll - , University of Kassel (Author)
  • Gerd Stumme - , University of Kassel (Author)
  • Benjamin Klöpper - , ABB Group (Author)
  • Marcel Dix - , ABB Group (Author)
  • Martin Hollender - , ABB Group (Author)
  • Moncef Chioua - , ABB Group (Author)
Translated title of the contribution
Big data in the process industry - Early detection and decision support

Details

Original languageGerman
Title of host publicationTagungsband Automation 2017
Pages77-78
Number of pages2
ISBN (electronic)978-3-18-102293-1
Publication statusPublished - 2017
Peer-reviewedNo

Publication series

SeriesVDI Berichte
Volume2293
ISSN0083-5560

Conference

Title18th International Congress on Measurement and Automation Technology, AUTOMATION 2017
Duration27 - 28 June 2017
CityBaden-Baden
CountryGermany

External IDs

ORCID /0000-0001-5165-4459/work/174432549

Keywords

Research priority areas of TU Dresden

Subject groups, research areas, subject areas according to Destatis

ASJC Scopus subject areas