Koester 2018a - Revision history

Scipediacontent at 14:17, 21 January 2021

2021-01-21T14:17:16Z

Scipediacontent: Scipediacontent moved page Draft Content 979506776 to Koester 2018a

2020-09-29T07:43:40Z

Scipediacontent moved page Draft Content 979506776 to Koester 2018a

Scipediacontent: Created page with " == Abstract == In this contribution, we give an insight in our experiences in the technical and organizational realization of industrial analytics. We address challenges in..."

2020-09-29T07:43:38Z

Created page with " == Abstract == In this contribution, we give an insight in our experiences in the technical and organizational realization of industrial analytics. We address challenges in..."

New page

== Abstract ==

In this contribution, we give an insight in our experiences in the technical and organizational realization of industrial analytics. We address challenges in implementing industrial analytics in real-world applications and discuss aspects to consider when designing a machine learning solution for production. We focus on technical and organizational aspects to make industrial analytics work for real-world applications in factory automation. As an example, we consider a machine learning use case in the area of industry compressors. We discuss the importance of scalability and reusability of data analytics pipelines and present a container-based system architecture.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_979506776-beopen3134-4403-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://link.springer.com/content/pdf/10.1007%2F978-3-662-58485-9_13.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-662-58485-9_13.pdf] under the license cc-by

* [http://link.springer.com/content/pdf/10.1007/978-3-662-58485-9_13 http://link.springer.com/content/pdf/10.1007/978-3-662-58485-9_13],[http://dx.doi.org/10.1007/978-3-662-58485-9_13 http://dx.doi.org/10.1007/978-3-662-58485-9_13] under the license http://creativecommons.org/licenses/by/4.0

* [https://link.springer.com/chapter/10.1007/978-3-662-58485-9_13 https://link.springer.com/chapter/10.1007/978-3-662-58485-9_13],[https://academic.microsoft.com/#/detail/2905317108 https://academic.microsoft.com/#/detail/2905317108]

@@ Line 7: / Line 7: @@
 == Full document ==
-<pdf>Media:Draft_Content_979506776-beopen3134-4403-document.pdf</pdf>
+<pdf>Media:Koester_2018a-beopen739-8630-document.pdf</pdf>
@@ Line 14: / Line 14: @@
 The different versions of the original document can be found in:
-* [https://link.springer.com/content/pdf/10.1007%2F978-3-662-58485-9_13.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-662-58485-9_13.pdf] under the license cc-by
+* [https://link.springer.com/content/pdf/10.1007%2F978-3-662-58485-9_13.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-662-58485-9_13.pdf] under the license https://creativecommons.org/licenses/by
-* [http://link.springer.com/content/pdf/10.1007/978-3-662-58485-9_13 http://link.springer.com/content/pdf/10.1007/978-3-662-58485-9_13],[http://dx.doi.org/10.1007/978-3-662-58485-9_13 http://dx.doi.org/10.1007/978-3-662-58485-9_13] under the license http://creativecommons.org/licenses/by/4.0
+* [http://link.springer.com/content/pdf/10.1007/978-3-662-58485-9_13 http://link.springer.com/content/pdf/10.1007/978-3-662-58485-9_13],
-* [https://link.springer.com/chapter/10.1007/978-3-662-58485-9_13 https://link.springer.com/chapter/10.1007/978-3-662-58485-9_13],[https://academic.microsoft.com/#/detail/2905317108 https://academic.microsoft.com/#/detail/2905317108]
+* [https://link.springer.com/chapter/10.1007/978-3-662-58485-9_13 https://link.springer.com/chapter/10.1007/978-3-662-58485-9_13],

← Older revision	Revision as of 07:43, 29 September 2020
(No difference)