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Anomaly Detection and Structural Analysis in Industrial Production Environments

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Big Data Analytics for Proactive Industrial Decision Support: Approaches & First Experiences in the Context of the FEE Project, , , , , , , , , and 3 other author(s). atp edition, (2016)Challenges for Big and Smart Data in Process Industries, , , , , , , , , and . atp edition, (2017)Sequential Modeling and Structural Anomaly Analytics in Industrial Production Environments., , and . LWDA, volume 1670 of CEUR Workshop Proceedings, page 283-290. CEUR-WS.org, (2016)HypGraphs: An Approach for Modeling and Comparing Graph-Based and Sequential Hypotheses, , , and . Proc. ECML-PKDD Workshop on New Frontiers in Mining Complex Patterns (NFMCP), Riva del Garda, Italy, (2016)Defining Software Architectures for Big Data Enabled Operator Support Systems, , , , , , and . Proc. IEEE International Conference on Industrial Informatics (INDIN), Boston, MA, USA, IEEE Press, (2016)Anomaly Analytics and Structural Assessment in Process Industries, , and . Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)INforE: Interactive Cross-platform Analytics for Everyone., , , , , , , , , and 9 other author(s). CIKM, page 3389-3392. ACM, (2020)Defining software architectures for big data enabled operator support systems., , , , , , and . INDIN, page 1288-1292. IEEE, (2016)Data Modelling and Knowledge Discovery in Process Industry, , , and . Enterprise Big Data Engineering, Analytics, and Management, (2016)Anomaly Detection and Structural Analysis in Industrial Production Environments, , and . Proc. International Data Science Conference (IDSC 2017), Salzburg, Austria, (2017)