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Michael Behringer

Applications of Parallel and Distributed Systems



Business card (VCF)

Universitätsstraße 38
D-70569 Stuttgart
Room: 2.467

Office Hours

on appointment


Working Area: Data, Metadata and Analytics



In the PhD project "Interactive assistance systems in the context of explorative and user-centric data analysis", the focus is on interactive procedures that allow domain experts to perform additional analyses not covered by standard queries, thereby enabling new hypotheses and insights. 

Conventional applications from the areas of Visual Analytics or Self-Service Business Intelligence either focus on the analysis of a specific challenge or follow predefined analysis paths. Since a domain expert rarely has in-depth technical knowledge, a more fundamental analysis would have to be implemented by the IT department at high cost. However, this is only feasible if the economic relevance is predictable. Especially with regard to explorative analysis scenarios, such a competitive advantage is not quantifiable.

Hence, it is desirable to enable the domain expert to perform initial exploratory analyses on his own to verify assumptions. For this purpose, the necessary level of detail must be abstracted in each step of the analysis. A balanced interplay between visual and automated procedures is required and the domain expert should be involved in every step of the analysis. To provide more comprehensive analysis paths here, a more generic approach - for example using data mashup tools - is required. These allow a largely free combination of data sources and operators by means of an intuitive graphical interface and are therefore suitable for the specification of analysis processes with regard to the rapid exploration of data without requiring programming knowledge.

The objective of this project is to develop techniques to support a domain expert in explorative analysis. This includes for instance a preselection of data sources, the reduction of repetitive tasks and interaction concepts in the area of data preparation. Due to this shift in focus on the integration of one or more domain experts into the analysis process and the resulting increase in the degree of freedom, the time-consuming and cost-intensive implementation of a (new) analysis by the IT department can be dispensed with in many cases and, as a consequence, new business opportunities can be identified.


  1. Michael Behringer, Pascal Hirmer, Manuel Fritz, and Bernhard Mitschang (2020). "Empowering Domain Experts to Preprocess Massive Distributed Datasets". In Proceedings of the 23rd International Conference on Business Information Systems, BIS 2020, Colorado Springs, CO, USA, June 08-10, 2020.
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  1. Manuel Fritz, Osama Muazzen, Michael Behringer, and Holger Schwarz (2019). "ASAP-DM: a framework for automatic selection of analytic platforms for data mining". SICS Software-Intensive Cyber-Physical Systems.
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  2. Manuel Fritz, Michael Behringer, and Holger Schwarz (2019). "Quality-driven early stopping for explorative cluster analysis for big data". SICS Software-Intensive Cyber-Physical Systems - Advancements of Service Computing: Proceedings of SummerSoC 2018. Volume 34, Issue 2-3, pp. 129–140
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  3. Michael Behringer, Pascal Hirmer, and Bernhard Mitschang (2018). "A Human-Centered Approach for Interactive Data Processing and Analytics". In Enterprise Information Systems : 19th International Conference on Enterprise Information Systems, ICEIS 2017, Porto, Portugal, April 26-29, 2017, Revised Selected Papers, Slimane Hammoudi, Michał Śmiałek, Olivier Camp and Joaquim Filipe (eds.). Springer International Publishing, pp. 498–514.
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  4. Pascal Hirmer, Michael Behringer, and Bernhard Mitschang (2018). "Partial execution of Mashup Plans during modeling time". SICS Software-Intensive Cyber-Physical Systems - Advancements of Service Computing: Proceedings of SummerSoC 2017. Volume 33, Issue 3-4, pp. 341–352
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  5. Pascal Hirmer and Michael Behringer (2017). "FlexMash 2.0 – Flexible Modeling and Execution of Data Mashups". Rapid Mashup Development Tools : Second International Rapid Mashup Challenge, RMC 2016, Lugano, Switzerland, June 6, 2016, Revised Selected Papers, Florian Daniel and Martin Gaedke (eds.). Springer International Publishing, pp. 10–29.
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  6. Michael Behringer, Pascal Hirmer, and Bernhard Mitschang (2017). "Towards Interactive Data Processing and Analytics - Putting the Human in the Center of the Loop". Proceedings of the 19th International Conference on Enterprise Information Systems, ICEIS 2017, Porto, Portugal, April 26-29, 2017. pp. 87–96
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  7. Michael Behringer (2016). "Visual Analytics im Kontext der Daten- und Analysequalität am Beispiel von Data Mashups". Diploma Thesis. Universität Stuttgart
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  8. Markus Funk, Stefan Schneegass, Michael Behringer, Niels Henze, and Albrecht Schmidt (2015). "An Interactive Curtain for Media Usage in the Shower". In Proceedings of the 4th International Symposium on Pervasive Displays, PerDis 2015, Saarbrücken, Germany, June 10-12, 2015. pp. 225–231
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  9. Michael Behringer (2014). "Erforschung der Interaktionsmöglichkeiten mit flexiblen und unebenen Oberflächen". Study Thesis. Universität Stuttgart
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Bachelor thesis:

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