How to Provide High-Utility Time Series Data in a Privacy-Aware Manner: A VAULT to Manage Time Series Data. In Hans-Joachim Hof, and Birgit Gersbeck-Schierholz (Eds.), International Journal on Advances in Security, (13)3 & 4:88--108, IARIA, December 2020. [PUMA: myown] URL
Enterprise-Wide Metadata Management: An Industry Case on the Current State and Challenges. Proceedings of the 24th International Conference on Business Information Systems (BIS), 2021. [PUMA: myown]
The Data Lake Architecture Framework: A Foundation for Building a Comprehensive Data Lake Architecture. Proceedings der 19. Fachtagung für Datenbanksysteme für Business,Technologie und Web (BTW 2021), 2021. [PUMA: big_data data_lake data_lake_architecture myown] URL
HANDLE - A Generic Metadata Model for Data Lakes. Proceedings of the 22nd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK2020), 2020. [PUMA: data_lake data_modeling metadata myown]
Leveraging the Data Lake: Current State and Challenges.. In Carlos Ordonez, Il-Yeol Song, Gabriele Anderst-Kotsis, A Min Tjoa, and Ismail Khalil (Eds.), DaWaK, (11708):179-188, Springer, 2019. [PUMA: data_lake literature_review myown] URL
Modeling Data Lakes with Data Vault: Practical Experiences, Assessment, and Lessons Learned.. In Alberto H. F. Laender, Barbara Pernici, Ee-Peng Lim, and José Palazzo M. de Oliveira (Eds.), ER, (11788):63-77, Springer, 2019. [PUMA: big_data data_lake data_modeling myown] URL
AMNESIA: A Technical Solution towards GDPR-compliant Machine Learning. In Steven Furnell, Paolo Mori, Edgar Weippl, and Olivier Camp (Eds.), Proceedings of the 6ᵗʰ International Conference on Information Systems Security and Privacy, (1):21–32, SciTePress, Valletta, February 2020. [PUMA: GDPR access_control data_protection machine_learning model_management myown privacy_zones provenance]
BRAID — A Hybrid Processing Architecture for Big Data. In Jorge Bernardino, and Christoph Quix (Eds.), Proceedings of the 7ᵗʰ International Conference on Data Science, Technology and Applications, (1):294–301, SciTePress, Porto, June 2018. [PUMA: Big_Data IoT Kappa_Architecture Lambda_Architecture batch_processing myown stream_processing]
Zuverlässige Verspätungsvorhersagen mithilfe von TAROT. In Torsten Grust, Felix Naumann, Alexander Böhm, Wolfgang Lehner, Theo Härder, Erhard Rahm, Andreas Heuer, Meike Klettke, and Holger Meyer (Eds.), Tagungsband der 18. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2019), (289):519–522, GI, Rostock, March 2019. [PUMA: Concept_Drift Verspätungsvorhersage deskriptive_Analyse myown prädiktive_Analyse ÖPNV]
Datenschutzmechanismen für Gesundheitsspiele am Beispiel von Secure Candy Castle. In Bernhard Mitschang, Daniela Nicklas, Frank Leymann, Harald Schöning, Melanie Herschel, Jens Teubner, Theo Härder, Oliver Kopp, and Matthias Wieland (Eds.), Tagungsband der 17. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web (BTW 2017) – Workshopband, (266):311–320, GI, Stuttgart, March 2017. [PUMA: Datenintegration Datenschutz Datensicherheit Interoperabilität mHealth-Apps myown] URL
A Zone Reference Model for Enterprise-Grade Data Lake Management. Proceedings of the 24th IEEE Enterprise Computing Conference (EDOC 2020), 2020. [PUMA: data_lake industry_case industry_experience myown reference_model zones] URL
Data Lakes auf den Grund gegangen - Herausforderungen und Forschungslücken in der Industriepraxis. Datenbank Spektrum, (20):57–69, 2020. [PUMA: myown] URL