Intelligent Analytics for Massive Data

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1. Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Zoi Kaoudi; Tilmann Rabl; Volker Markl

   Materialization and Reuse Optimizations for Production Data Science Pipelines

   In: SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data …

2. Sebastian Baunsgaard; Matthias Boehm; Ankit Chaudhary; Behrouz Derakhshan; Stefan Geißelsöder; Philipp M. Grulich; Michael Hildebrand; Kevin Innerebner; Volker Markl; Claus Neubauer; Sarah Osterburg; Olga Ovcharenko; Sergey Redyuk; Tobias Rieger; Alireza Rezaei Mahdiraji; Sebastian Benjamin Wrede; Steffen Zeuch

   ExDRa: Exploratory Data Science on Federated Raw Data.

   In: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data …

3. Ioannis Prapas; Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Volker Markl

   Continuous Training and Deployment of Deep Learning Models

   In: Datenbank-Spektrum (Spektrum), Vol. 21, No. 3, Pages 203-212, Springer, 2021.

4. Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Ziawasch Abedjan; Tilmann Rabl; Volker Markl

   Optimizing Machine Learning Workloads in Collaborative Environments

   In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data …

5. Behrouz Derakhshan; Alireza Rezaei Mahdiraji; Tilmann Rabl; Volker Markl

   Continuous Deployment of Machine Learning Pipelines

   In: International Conference on Extending Database Technology. International Conference on Extending Database Technology (EDBT-2019), March 25-29, …

6. Bonaventura Del Monte; Jeyhun Karimov; Alireza Rezaei Mahdiraji; Tilmann Rabl; Volker Markl

   PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization

   In: Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017). International Workshop on Big Data Management in European …

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