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Stefan Hagedorn
Stefan Hagedorn
PhD Student, TU Ilmenau
Bestätigte E-Mail-Adresse bei tu-ilmenau.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
The STARK framework for spatio-temporal data analytics on spark
S Hagedorn, P Gotze, KU Sattler
Datenbanksysteme für Business, Technologie und Web (BTW 2017), 2017
672017
Big Spatial Data Processing Frameworks: Feature and Performance Evaluation.
S Hagedorn, P Götze, KU Sattler
EDBT, 490-493, 2017
282017
Efficient spatio-temporal event processing with STARK
S Hagedorn
Deutsche Nationalbibliothek, 2017
252017
Putting Pandas in a Box.
S Hagedorn, S Kläbe, KU Sattler
CIDR, 2021
192021
Piglet: interactive and platform transparent analytics for rdf & dynamic data
S Hagedorn, KU Sattler
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
132016
Complex event processing on linked stream data
O Saleh, S Hagedorn, KU Sattler
Datenbank-Spektrum 15 (2), 119-129, 2015
132015
A gray-box modeling methodology for runtime prediction of apache spark jobs
H Al-Sayeh, S Hagedorn, KU Sattler
Distributed and Parallel Databases 38 (4), 819-839, 2020
112020
Sparqling pig-processing linked data with pig latin
S Hagedorn, K Hose, KU Sattler
Datenbanksysteme für Business, Technologie und Web (BTW 2015), 2015
82015
Efficient parallel processing of analytical queries on linked data
S Hagedorn, KU Sattler
OTM Confederated International Conferences" On the Move to Meaningful …, 2013
82013
Resource Planning for SPARQL Query Execution on Data Sharing Platforms.
S Hagedorn, K Hose, KU Sattler, J Umbrich
COLD, 2014
72014
Discovery querying in linked open data
S Hagedorn, KU Sattler
Proceedings of the Joint EDBT/ICDT 2013 Workshops, 38-44, 2013
72013
Applying machine learning models to scalable dataframes with grizzly
S Kläbe, S Hagedorn
BTW 2021, 2021
62021
When sweet and cute isn't enough anymore: Solving scalability issues in Python Pandas with Grizzly.
S Hagedorn
CIDR, 2020
52020
Stream processing platforms for analyzing big dynamic data
S Hagedorn, P Götze, O Saleh, KU Sattler
it-Information Technology 58 (4), 195-205, 2016
52016
Cost-based sharing and recycling of (intermediate) results in dataflow programs
S Hagedorn, KU Sattler
European Conference on Advances in Databases and Information Systems, 185-199, 2018
42018
LODHub—A platform for sharing and integrated processing of linked open data
S Hagedorn, KU Sattler
2014 IEEE 30th International Conference on Data Engineering Workshops, 260-262, 2014
42014
Refining imprecise spatio-temporal events: a network-based approach
A Spitz, J Geiß, M Gertz, S Hagedorn, KU Sattler
Proceedings of the 10th Workshop on Geographic Information Retrieval, 1-10, 2016
32016
A Framework for Scalable Correlation of Spatio-temporal Event Data
S Hagedorn, KU Sattler, M Gertz
British International Conference on Databases, 9-15, 2015
32015
Gesture-based navigation in graph databases-the kevin bacon game
F Beier, S Baumann, H Betz, S Hagedorn, T Wagner
Datenbanksysteme für Business, Technologie und Web (BTW) 2047, 2013
32013
When bears get machine support: Applying machine learning models to scalable dataframes with grizzly
S Kläbe, S Hagedorn
Datenbanksysteme für Business, Technologie und Web (BTW 2021) 13.-17 …, 2021
22021
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