Claudio Hartmann
Title
Cited by
Cited by
Year
Cardinality estimation with local deep learning models
L Woltmann, C Hartmann, M Thiele, D Habich, W Lehner
Proceedings of the second international workshop on exploiting artificial†…, 2019
302019
Forecasting the data cube: A model configuration advisor for multi-dimensional data sets
U Fischer, C Schildt, C Hartmann, W Lehner
2013 IEEE 29th International Conference on Data Engineering (ICDE), 853-864, 2013
202013
Exploiting big data in time series forecasting: A cross-sectional approach
C Hartmann, M Hahmann, W Lehner, F Rosenthal
2015 IEEE International Conference on Data Science and Advanced Analytics†…, 2015
152015
CSAR: the cross-sectional autoregression model for short and long-range forecasting
C Hartmann, F Ressel, M Hahmann, D Habich, W Lehner
International Journal of Data Science and Analytics 8 (2), 165-181, 2019
52019
CSAR: The cross-sectional autoregression model
C Hartmann, M Hahmann, D Habich, W Lehner
2017 IEEE International Conference on Data Science and Advanced Analytics†…, 2017
52017
Web-based benchmarks for forecasting systems: The ecast platform
R Ulbricht, C Hartmann, M Hahmann, H Donker, W Lehner
Proceedings of the 2016 International Conference on Management of Data, 2169†…, 2016
52016
Machine learning-based cardinality estimation in DBMS on pre-aggregated data
L Woltmann, C Hartmann, D Habich, W Lehner
arXiv preprint arXiv:2005.09367, 2020
32020
Forecasting Large-scale Time Series Data
C Hartmann
Technische Universitšt Dresden, 2018
22018
Simplicity Done Right for Join Ordering
A Hertzschuch, C Hartmann, D Habich, W Lehner
12021
Feature-aware forecasting of large-scale time series data sets
C Hartmann, L Kegel, W Lehner
it-Information Technology, 2020
12020
Particulate Matter Matters—The Data Science Challenge@ BTW 2019
HJ Meyer, H Grunert, T Waizenegger, L Woltmann, C Hartmann, ...
Datenbank-Spektrum, 1-18, 2019
12019
Assessing the Impact of Driving Bans with Data Analysis
L Woltmann, C Hartmann, W Lehner
12019
Large-Scale Time Series Analytics
M Hahmann, C Hartmann, L Kegel, W Lehner
Datenbank-Spektrum, 1-13, 2019
12019
Challenges for Context-Driven Time Series Forecasting
R Ulbricht, H Donker, C Hartmann, M Hahmann, W Lehner
Journal of Data and Information Quality (JDIQ) 7 (1-2), 1-4, 2016
12016
Best of both worlds: combining traditional and machine learning models for cardinality estimation
L Woltmann, C Hartmann, D Habich, W Lehner
Proceedings of the Third International Workshop on Exploiting Artificial†…, 2020
2020
Big by blocks: modular analytics
M Hahmann, C Hartmann, L Kegel, D Habich, W Lehner
it-Information Technology 58 (4), 176-185, 2016
2016
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Articles 1–16