Publications

Publications AS: Peter Reimann      Change to grouping by year

Overview

• Article in Journal
• Article in Proceedings (Conference paper)
• Article in Proceedings (Workshop paper)
• Technical Report
• Article in Book
• Doctoral Thesis
• Diploma Thesis
• Student Thesis

Year 2023

• Hirsch, Vitali; Reimann, Peter; Treder-Tschechlov, Dennis; Schwarz, Holger; Mitschang, Bernhard: Exploiting Domain Knowledge to address Class Imbalance and a Heterogeneous Feature Space in Multi-Class Classification. In: International Journal on Very Large Data Bases (VLDB-Journal), Springer, 2023.
• Villanueva Zacarias, Alejandro Gabriel; Reimann, Peter; Weber, Christian; Mitschang, Bernhard: AssistML: An Approach to Manage, Recommend and Reuse ML Solutions. In: International Journal of Data Science and Analytics (JDSA), Springer Nature, 2023.

Year 2019

• Kiefer, Cornelia; Reimann, Peter; Mitschang, Bernhard: QUALM: Ganzheitliche Messung und Verbesserung der Datenqualität in der Textanalyse. In: Datenbank-Spektrum, Springer Verlag, 2019.
• Petrik, Dimitri; Mormul, Mathias; Reimann, Peter: Anforderungen für Zeitreihendatenbanken in der industriellen Edge. In: HMD Praxis der Wirtschaftsinformatik. Bd. 56, Springer-Verlag, 2019.

Year 2018

• Weber, Christian; Wieland, Matthias; Reimann, Peter: Konzepte zur Datenverarbeitung in Referenzarchitekturen für Industrie 4.0: Konsequenzen bei der Umsetzung einer IT-Architektur. In: Datenbank-Spektrum. Bd. 18(1), Springer Berlin Heidelberg, 2018.

Year 2011

• Reimann, Peter; Schwarz, Holger; Mitschang, Bernhard: Design, Implementation, and Evaluation of a Tight Integration of Database and Workflow Engines. In: Laender, Alberto H. F. (ed.); Moro, Mirella M. (ed.): Journal of Information and Data Management. Vol. 2(3), SBC - Brazilian Computer Society, 2011.

Year 2023

• Treder-Tschechlov, Dennis; Reimann, Peter; Schwarz, Holger; Mitschang, Bernhard: Approach to Synthetic Data Generation for Imbalanced Multi-class Problems with Heterogeneous Groups. In: Tagungsband der 20. Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2019), 2023.
• Wilhelm, Yannick; Reimann, Peter; Gauchel, Wolfgang; Klein, Steffen; Mitschang, Bernhard: PUSION- A Generic and Automated Framework for Decision Fusion. In: Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE 2023).
• Voggesberger, Julius; Reimann, Peter; Mitschang, Bernhard: Towards the Automatic Creation of Optimized Classifier Ensembles. In: Proceedings of the 25th International Conference on Enterprise Information Systems (ICEIS 2023).
• Ackermann, Thomas; Miehe, Robert; Reimann, Peter; Mitschang, Bernhard; Takors, Ralf; Bauernhansl, Thomas: A Cross-Disciplinary Training Concept for Future Technologists in the Dawn of Biointelligent Production Systems. In: Procedia CIRP: Proceedings of 13th CIRP Conference on Learning Factories (CIRP CLF), 2023.

Year 2022

• Hermann, Florian; Chen, Bowen; Ghasemi, Golsa; Stegmaier, Valentin; Ackermann, Thomas; Reimann, Peter; Vogt, Sabrina; Graf, Thomas; Weyrich, Michael: A Digital Twin Approach for the Prediction of the Geometry of Single Tracks Produced by Laser Metal Deposition. In: Procedia CIRP: Proceedings of the 55th CIRP Conference on Manufacturing Systems (CIRP CMS 2022).
• Spieß, Marco; Reimann, Peter; Weber, Christian; Mitschang, Bernhard: Analysis of Incremental Learning andWindowing to handle Combined Dataset Shifts on Binary Classification for Product Failure Prediction. In: Proceedings of the 24th International Conference on Enterprise Information Systems (ICEIS 2022).
• Ziegler, Julian; Reimann, Peter; Schulz, Christoph; Keller, Florian; Mitschang, Bernhard: A Graph Structure to Discover Patterns in Unstructured Processes of Product Development. In: Proceedings of the 23rd International Conference on Information Reuse and Integration for Data Science (IRI 2022).

Year 2021

• Ziegler, Julian; Reimann, Peter; Keller, Florian; Mitschang, Bernhard: A Metadata Model to Connect Isolated Data Silos and Activities of the CAE Domain. In: Proceedings of the 33rd International Conference on Advanced Information Systems Engineering (CAiSE), 2021.
• Birk, Alexander; Wilhelm, Yannick; Dreher, Simon; Flack, Christian; Reimann, Peter; Gröger, Christoph: A Real-World Application of Process Mining for Data-Driven Analysis of Multi-Level Interlinked Manufacturing Processes. In: Procedia CIRP: Proceedings of the 54th CIRP Conference on Manufacturing Systems (CIRP CMS 2021).
• Wagner, Eduard; Keller, Bernd; Reimann, Peter; Gröger, Christoph; Spath, Dieter: Advanced Analytics for Evaluating Critical Joining Technologies in Automotive Body Structures and Body Shops. In: Proceedings of the 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), 2021.
• Villanueva Zacarias, Alejandro; Weber, Christian; Reimann, Peter; Mitschang, Bernhard: AssistML: A Concept to Recommend ML Solutions for Predictive Use Cases. In: Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2021).

Year 2020

• Kiefer, Cornelia; Reimann, Peter; Mitschang, Bernhard: Prevent Low-Quality Analytics by Automatic Selection of the Best-Fitting Training Data. In: Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS), 2020.
• Hirsch, Vitali; Reimann, Peter; Mitschang, Bernhard: Incorporating Economic Aspects into Recommendation Ranking to Reduce Failure Costs. In: Procedia CIRP: Proceedings of the 53rd CIRP Conference on Manufacturing Systems (CIRP CMS 2020).
• Ziegler, Julian; Reimann, Peter; Keller, Florian; Mitschang, Bernhard: A Graph-based Approach to Manage CAE Data in a Data Lake. In: Procedia CIRP: Proceedings of the 53rd CIRP Conference on Manufacturing Systems (CIRP CMS 2020).
• Weber, Christian; Hirmer, Pascal; Reimann, Peter: A Model Management Platform for Industry 4.0 - Enabling Management of Machine Learning Models in Manufacturing Environments. In: Abramowicz, Witold (ed.); Alt, Rainer (ed.); Klein, Gary (ed.); Paschke, Adrian (ed.); Sandkuhl, Kurt (ed.): Proceedings of the 23rd International Conference on Business Information Systems (BIS), 2020.
• Wilhelm, Yannick; Schreier, Ulf; Reimann, Peter; Mitschang, Bernhard; Ziekow, Holger: Data Science Approaches to Quality Control in Manufacturing: A Review of Problems, Challenges and Architecture. In: Springer Proceedings Series Communications in Computer and Information Science (CCIS), 2020.
• Wilhelm, Yannick; Reimann, Peter; Gauchel, Wolfgang; Mitschang, Bernhard: Overview on Hybrid Approaches to Fault Detection and Diagnosis: Combining Data-driven, Physics-based and Knowledge-based Models. In: Procedia CIRP: Proceedings of the 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), 2020.
• Hirsch, Vitali; Reimann, Peter; Mitschang, Bernhard: Exploiting Domain Knowledge to Address Multi-Class Imbalance and a Heterogeneous Feature Space in Classification Tasks for Manufacturing Data. In: Balazinska, Magdalena (ed.); Zhou, Xiaofang (ed.): Proceedings of the 46th International Conference on Very Large Databases (VLDB), 2020.
• Villanueva Zacarias, Alejandro; Ghabri, Rachaa; Reimann, Peter: AD4ML: Axiomatic Design to Specify Machine Learning Solutions for Manufacturing. In: Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020.
• Dreher, Simon; Reimann, Peter; Gröger, Christoph: Application Fields and Research Gaps of Process Mining in Manufacturing Companies. In: Reussner, R. H. (ed.); Koziolek, A (ed.); Heinrich, R. (ed.): Proceedings of INFORMATIK 2020.

Year 2019

• Kiefer, Cornelia; Reimann, Peter; Mitschang, Bernhard: A Hybrid Information Extraction Approach Exploiting Structured Data Within a Text Mining Process. In: Grust, Torsten (ed.); Naumann, Felix (ed.); Böhm, Alexander (ed.); Lehner, Wolfgang (ed.); Härder, Theo (ed.); Rahm, Erhard et al. (ed.): 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme (DBIS), 4.-8. März 2019, Rostock, Germany, Proceedings.
• Weber, Christian; Hirmer, Pascal; Reimann, Peter; Schwarz, Holger: A New Process Model for the Comprehensive Management of Machine Learning Models. In: Filipe, Joaquim (ed.); Smialek, Michal (ed.); Brodsky, Alexander (ed.); Hammoudi, Slimane (ed.): Proceedings of the 21st International Conference on Enterprise Information Systems (ICEIS); Heraklion, Crete, Greece, May 3-5, 2019.
• Spieß, Marco; Reimann, Peter: Angepasstes Item Set Mining zur gezielten Steuerung von Bauteilen in der Serienfertigung von Fahrzeugen. In: Tagungsband der 18. Konferenz Datenbanksysteme für Business, Technologie und Web (BTW 2019).
• Hirsch, Vitali; Reimann, Peter; Mitschang, Bernhard: Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products. In: Proceedings of the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2019), Washington, D.C., USA.

Year 2018

• Hirsch, Vitali; Reimann, Peter; Kirn, Oliver; Mitschang, Bernhard: Analytical Approach to Support Fault Diagnosis and Quality Control in End-Of-Line Testing. In: Proceedings of the 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018).
• Villanueva Zacarias, Alejandro; Reimann, Peter; Mitschang, Bernhard: A Framework to Guide the Selection and Configuration of Machine-Learning-based Data Analytics Solutions in Manufacturing. In: Proceedings of the 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018).

Year 2015

• Hirmer, Pascal; Reimann, Peter; Wieland, Matthias; Mitschang, Bernhard: Extended Techniques for Flexible Modeling and Execution of Data Mashups. In: Markus Helfert (ed.); Andreas Holzinger (ed.); Orlando Belo (ed.); Chiara Francalanci (ed.): Proceedings of the 4th International Conference on Data Management Technologies and Applications (DATA), 2015.

Year 2014

• Reimann, Peter; Schwarz, Holger; Mitschang, Bernhard: Data Patterns to Alleviate the Design of Scientific Workflows Exemplified by a Bone Simulation. In: Proceedings of the 26th International Conference on Scientific and Statistical Database Management, 2014.
• Reimann, Peter; Schwarz, Holger; Mitschang, Bernhard: A Pattern Approach to Conquer the Data Complexity in Simulation Workflow Design. In: R. Meersman et al. (ed.): Proceedings of OnTheMove Federated Conferences and Workshops (OTM), 22nd International Conference on Cooperative Information Systems (CoopIS 2014).

Year 2013

• Reimann, Peter; Schwarz, Holger: Datenmanagementpatterns in Simulationsworkflows. In: Gesellschaft für Informatik (GI) (ed.): Proceedings der 15. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2013).
• Silcher, Stefan; Königsberger, Jan; Reimann, Peter; Mitschang, Bernhard: Cooperative service registries for the service-based Product Lifecycle Management architecture. In: Proceedings of the 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD '13), 2013.

Year 2011

• Reimann, Peter; Reiter, Michael; Schwarz, Holger; Karastoyanova, Dimka; Leymann, Frank: SIMPL - A Framework for Accessing External Data in Simulation Workflows. In: Gesellschaft für Informatik (GI) (ed.): Datenbanksysteme für Business, Technologie und Web (BTW 2011), 14. Fachtagung des GI-Fachbereichs „Datenbanken und Informationssysteme“ (DBIS), Proceedings, 02.-04. März 2011, Kaiserslautern, Germany.
• Minguez, Jorge; Reimann, Peter; Zor, Sema: Event-driven Business Process Management in Engineer-to-Order Supply Chains. In: Proceedings of the 15th International Conference on Computer Supported Cooperative Work in Design, 2011.

Year 2014

• Reimann, Peter; Waizenegger, Tim; Wieland, Matthias; Schwarz, Holger: Datenmanagement in der Cloud für den Bereich Simulationen und Wissenschaftliches Rechnen. In: Gesellschaft für Informatik e.V. (GI) (ed.): Proceedings des 2. Workshop Data Management in the Cloud auf der 44. Jahrestagung der Gesellschaft für Informatik e.V. (GI), 2014.

Year 2008

• Reimann, Peter; Kopp, Oliver; Decker, Gero; Leymann, Frank: Generating WS-BPEL 2.0 Processes from a Grounded BPEL4Chor Choreography, Technical Report No. 2008/07.

Year 2021

• Petrik, Dimitri; Mormul, Mathias; Reimann, Peter; Gröger, Christoph: Anforderungen für Zeitreihendatenbanken im industriellen IoT. In: Meinhardt, Stefan (ed.); Wortmann, Felix (ed.): IoT – Best Practices, Springer-Verlag, 2021.

Year 2017

• Reimann, Peter: Data Provisioning in Simulation Workflows, Doctoral Thesis, 2017.

Year 2008

• Reimann, Peter: Optimization of BPEL/SQL Flows in Federated Database Systems, Diploma Thesis No. 2744, 2008.

Year 2007

• Reimann, Peter: Generating BPEL Processes from a BPEL4Chor Description, Student Thesis No. 2100, 2007.