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Big Data Analytics for Proactive Industrial Decision Support: Approaches & First Experiences in the Context of the FEE Project

M. Atzmueller, B. Kloepper, H. Mawla, B. Jäschke, M. Hollender, M. Graube, D. Arnu, A. Schmidt, S. Heinze, L. Schorer, A. Kroll, G. Stumme, and L. Urbas. atp edition (2016)

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URL:: https://www.atpinfo.de/produkte/2016-big-data-analytics-for-proactive-industrial-decision-support/
BibTeX key:: FEE:ATP:2016
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@article{FEE:ATP:2016,
  added-at = {2019-02-15T11:17:28.000+0100},
  author = {Atzmueller, Martin and Kloepper, Benjamin and Mawla, Hassan Al and J\"aschke, Benjamin and Hollender, Martin and Graube, Markus and Arnu, David and Schmidt, Andreas and Heinze, Sebastian and Schorer, Lukas and Kroll, Andreas and Stumme, Gerd and Urbas, Leon},
  biburl = {https://www.bibsonomy.org/bibtex/27f3a52ae196cd48e1c2c09f61e47b0fb/stumme},
  interhash = {3095e487d21b74ce4449c2ad3187bbfd},
  intrahash = {7f3a52ae196cd48e1c2c09f61e47b0fb},
  journal = {atp edition},
  keywords = {2016 4.0 analytics anomaly big data detection discovery feepub industrial industry itegpub knowledge mining myown prediction preprocessing process},
  number = 9,
  timestamp = {2019-02-15T11:17:28.000+0100},
  title = {{Big Data Analytics for Proactive Industrial Decision Support: Approaches \& First Experiences in the Context of the FEE Project}},
  url = {https://www.atpinfo.de/produkte/2016-big-data-analytics-for-proactive-industrial-decision-support/},
  volume = 58,
  year = 2016
}

%0 Journal Article
%1 FEE:ATP:2016
%A Atzmueller, Martin
%A Kloepper, Benjamin
%A Mawla, Hassan Al
%A Jäschke, Benjamin
%A Hollender, Martin
%A Graube, Markus
%A Arnu, David
%A Schmidt, Andreas
%A Heinze, Sebastian
%A Schorer, Lukas
%A Kroll, Andreas
%A Stumme, Gerd
%A Urbas, Leon
%D 2016
%J atp edition
%K 2016 4.0 analytics anomaly big data detection discovery feepub industrial industry itegpub knowledge mining myown prediction preprocessing process
%N 9
%T Big Data Analytics for Proactive Industrial Decision Support: Approaches & First Experiences in the Context of the FEE Project
%U https://www.atpinfo.de/produkte/2016-big-data-analytics-for-proactive-industrial-decision-support/
%V 58

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Big Data Analytics for Proactive Industrial Decision Support: Approaches & First Experiences in the Context of the FEE Project

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