Poster: Handling Inconsistent Data in Industry 4.0

Author:

Paasche Simon1ORCID,Groppe Sven2ORCID

Affiliation:

1. Automotive Electronics, Robert Bosch Elektronik GmbH, Salzgitter, Germany

2. Institute of Information Systems, University of Lübeck, Lübeck, Germany

Publisher

ACM

Reference7 articles.

1. Stream Processing of Healthcare Sensor Data: Studying User Traces to Identify Challenges from a Big Data Perspective

2. Distributed Stream Consistency Checking

3. L Geiger T Hopf J Loring M Renner J Rudolph A Scharf M Schmidt and F Termer. 2021. Ressourceneffiziente Programmierung. L Geiger T Hopf J Loring M Renner J Rudolph A Scharf M Schmidt and F Termer. 2021. Ressourceneffiziente Programmierung.

4. Hele-Mai Haav , Riina Maigre , A Lupeikiene , O Vasilecas , and G Dzemyda . 2019. A semantic model for product configuration in timber industry . In Databases and Information Systems X. Vol. 315 . IOS Press , 143--158. Hele-Mai Haav, Riina Maigre, A Lupeikiene, O Vasilecas, and G Dzemyda. 2019. A semantic model for product configuration in timber industry. In Databases and Information Systems X. Vol. 315. IOS Press, 143--158.

5. Enhancing data quality and process optimization for smart manufacturing lines in industry 4.0 scenarios

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