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Large-Scale Time Series Analytics - Novel Approaches for Generation and Prediction., , , and . Datenbank-Spektrum, 19 (1): 17-29 (2019)Big by blocks: modular analytics., , , , and . it - Information Technology, 58 (4): 176-185 (2016)CSAR: The Cross-Sectional Autoregression Model., , , and . DSAA, page 232-241. IEEE, (2017)Cardinality estimation with local deep learning models., , , , and . aiDM@SIGMOD, page 5:1-5:8. ACM, (2019)Assessing the Impact of Driving Bans with Data Analysis., , and . BTW (Workshops), volume P-290 of LNI, page 287-296. Gesellschaft für Informatik, Bonn, (2019)Particulate Matter Matters - The Data Science Challenge @ BTW 2019., , , , , , , , , and 6 other author(s). Datenbank-Spektrum, 19 (3): 165-182 (2019)Data Science Meets High-Tech Manufacturing - The BTW 2021 Data Science Challenge., , , , , , , and . Datenbank-Spektrum, 22 (1): 5-10 (2022)Aggregate-based Training Phase for ML-based Cardinality Estimation., , , and . Datenbank-Spektrum, 22 (1): 45-57 (2022)Challenges for Context-Driven Time Series Forecasting., , , , and . J. Data and Information Quality, 7 (1-2): 5:1-5:4 (2016)Forecasting large-scale time series data.. Dresden University of Technology, Germany, (2018)