SIMPL - A Framework for Accessing External Data in Simulation Workflows. - Peter Reimann 002; Michael Reiter; Holger Schwarz; Dimka Karastoyanova; Frank Leymann (BTW, 2011)

Event-driven business process management in Engineer-to-Order supply chains. - Jorge Mínguez; Sema Zor; Peter Reimann 002 (CSCWD, 2011)

Design, Implementation, and Evaluation of a Tight Integration of Database and Workflow Engines. - Peter Reimann 002; Holger Schwarz; Bernhard Mitschang (J. Inf. Data Manag., 2011)

Datenmanagementpatterns in Simulationsworkflows. - Peter Reimann 002; Holger Schwarz (BTW, 2013)

Cooperative service registries for the service-based Product Lifecycle Management architecture. - Stefan Silcher; Jan Konigsberger; Peter Reimann 002; Bernhard Mitschang (CSCWD, 2013)

Datenmanagement in der Cloud fur den Bereich Simulationen und Wissenschaftliches Rechnen. - Peter Reimann 002; Tim Waizenegger; Matthias Wieland 001; Holger Schwarz (GI-Jahrestagung, 2014)

A Pattern Approach to Conquer the Data Complexity in Simulation Workflow Design. - Peter Reimann 002; Holger Schwarz; Bernhard Mitschang (OTM Conferences, 2014)

Simulation workflow design tailor-made for scientists. - Peter Reimann 002; Holger Schwarz (SSDBM, 2014)

Data patterns to alleviate the design of scientific workflows exemplified by a bone simulation. - Peter Reimann 002; Holger Schwarz; Bernhard Mitschang (SSDBM, 2014)

Extended Techniques for Flexible Modeling and Execution of Data Mashups. - Pascal Hirmer; Peter Reimann 002; Matthias Wieland 001; Bernhard Mitschang (DATA, 2015)

BigDS17 - Vorwort. - Anika Groß; Birgitta König-Ries; Peter Reimann 002; Bernhard Seeger (BTW (Workshops), 2017)

Data provisioning in simulation workflows. - Peter Reimann 002 (2017)

Konzepte zur Datenverarbeitung in Referenzarchitekturen für Industrie 4.0 - Konsequenzen bei der Umsetzung einer IT-Architektur. - Christian Weber 005; Matthias Wieland 001; Peter Reimann 002 (Datenbank-Spektrum, 2018)

A Hybrid Information Extraction Approach Exploiting Structured Data Within a Text Mining Process. - Cornelia Kiefer; Peter Reimann 002; Bernhard Mitschang (BTW, 2019)

Workshop on Big (and Small) Data in Science and Humanities (BigDS 2019). - Friederike Klan; Birgitta König-Ries; Peter Reimann 002; Bernhard Seeger; Anika Groß (BTW (Workshops), 2019)

Angepasstes Item Set Mining zur gezielten Steuerung von Bauteilen in der Serienfertigung von Fahrzeugen. - Marco Spieß; Peter Reimann 002 (BTW (Workshops), 2019)

Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products. - Vitali Hirsch; Peter Reimann 002; Bernhard Mitschang (DSAA, 2019)

A New Process Model for the Comprehensive Management of Machine Learning Models. - Christian Weber 005; Pascal Hirmer; Peter Reimann 002; Holger Schwarz (ICEIS (1), 2019)

QUALM: Ganzheitliche Messung und Verbesserung der Datenqualität in der Textanalyse. - Cornelia Kiefer; Peter Reimann 002; Bernhard Mitschang (Datenbank-Spektrum, 2019)

Anforderungen für Zeitreihendatenbanken in der industriellen Edge. - Dimitri Petrik; Mathias Mormul; Peter Reimann 002 (HMD Prax. Wirtsch., 2019)

A Model Management Platform for Industry 4.0 - Enabling Management of Machine Learning Models in Manufacturing Environments. - Christian Weber 005; Pascal Hirmer; Peter Reimann 002 (BIS, 2020)

MMP - A Platform to Manage Machine Learning Models in Industry 4.0 Environments. - Christian Weber 005; Peter Reimann 002 (EDOC Workshops, 2020)

Application Fields and Research Gaps of Process Mining in Manufacturing Companies. - Simon Dreher; Peter Reimann 002; Christoph Gröger (GI-Jahrestagung, 2020)

Prevent Low-Quality Analytics by Automatic Selection of the Best-Fitting Training Data. - Cornelia Kiefer; Peter Reimann 002; Bernhard Mitschang (HICSS, 2020)

AD4ML: Axiomatic Design to Specify Machine Learning Solutions for Manufacturing. - Alejandro Gabriel Villanueva Zacarias; Rachaa Ghabri; Peter Reimann 002 (IRI, 2020)

Data Science Approaches to Quality Control in Manufacturing: A Review of Problems, Challenges and Architecture. - Yannick Wilhelm; Ulf Schreier; Peter Reimann 002; Bernhard Mitschang; Holger Ziekow (SummerSOC, 2020)

Exploiting Domain Knowledge to address Multi-Class Imbalance and a Heterogeneous Feature Space in Classification Tasks for Manufacturing Data. - Vitali Hirsch; Peter Reimann 002; Bernhard Mitschang (Proc. VLDB Endow., 2020)

A Metadata Model to Connect Isolated Data Silos and Activities of the CAE Domain. - Julian Ziegler; Peter Reimann 002; Florian Keller; Bernhard Mitschang (CAiSE, 2021)

AssistML: A Concept to Recommend ML Solutions for Predictive Use Cases. - Alejandro Gabriel Villanueva Zacarias; Christian Weber 005; Peter Reimann 002; Bernhard Mitschang (DSAA, 2021)

Analysis of Incremental Learning and Windowing to Handle Combined Dataset Shifts on Binary Classification for Product Failure Prediction. - Marco Spieß; Peter Reimann 002; Christian Weber 005; Bernhard Mitschang (ICEIS (1), 2022)

A Graph Structure to Discover Patterns in Unstructured Processes of Product Development. - Julian Ziegler; Peter Reimann 002; Christoph Schulz; Florian Keller; Bernhard Mitschang (IRI, 2022)

Approach to Synthetic Data Generation for Imbalanced Multi-class Problems with Heterogeneous Groups. - Dennis Treder-Tschechlov; Peter Reimann 002; Holger Schwarz; Bernhard Mitschang (BTW, 2023)

Metadata Modeling and Use of Domain Knowledge to Support Industrial Data Analytics. - Peter Reimann 002 (GvDB, 2023)

Pusion - A Generic and Automated Framework for Decision Fusion. - Yannick Wilhelm; Peter Reimann 002; Wolfgang Gauchel; Steffen Klein; Bernhard Mitschang (ICDE, 2023)

Towards the Automatic Creation of Optimized Classifier Ensembles. - Julius Voggesberger; Peter Reimann 002; Bernhard Mitschang (ICEIS (1), 2023)

Exploiting domain knowledge to address class imbalance and a heterogeneous feature space in multi-class classification. - Vitali Hirsch; Peter Reimann 002; Dennis Treder-Tschechlov; Holger Schwarz; Bernhard Mitschang (VLDB J., 2023)

AssistML: an approach to manage, recommend and reuse ML solutions. - Alejandro Gabriel Villanueva Zacarias; Peter Reimann 002; Christian Weber 005; Bernhard Mitschang (Int. J. Data Sci. Anal., 2023)