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ORCID18. BTW 2019: Rostock, Germany - Workshops
- Holger Meyer, Norbert Ritter, Andreas Thor, Daniela Nicklas, Andreas Heuer, Meike Klettke:
Datenbanksysteme für Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs „Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Workshopband. LNI P-290, Gesellschaft für Informatik, Bonn 2019, ISBN 978-3-88579-684-8
1st Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC)
- David Broneske, Dirk Habich:
1st Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC). 23-25 - Carsten Binnig:
DPI: The Data Processing Interface for Modern Networks (Extended Abstract). 29-30 - Johannes Pietrzyk, Dirk Habich, Patrick Damme, Wolfgang Lehner
:
First Investigations of the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for Database Systems. 33-50 - Andreas Becher, Achim Herrmann, Stefan Wildermann, Jürgen Teich:
ReProVide: Towards Utilizing Heterogeneous Partially Reconfigurable Architectures for Near-Memory Data Processing. 51-70 - Philipp Götze, Constantin Pohl, Kai-Uwe Sattler:
Query Planning for Transactional Stream Processing on Heterogeneous Hardware. 71-80 - Tobias Ziegler, Carsten Binnig, Uwe Röhm:
Skew-resilient Query Processing for Fast Networks. 81-85 - Sebastian Breß, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl:
An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core Age. 87-90 - Christopher Schmidt, Matthias Uflacker:
Workload-Driven Data Placement for GPU-Accelerated Database Management Systems. 91-94
Workshop Digitale Lehre im Fach Datenbanken
- Thomas C. Rakow, Heide Faeskorn-Woyke:
Workshop Digitale Lehre im Fach Datenbanken. 97-98
Workshop on Big (and Small) Data in Science and Humanities (BigDS 2019)
- Friederike Klan, Birgitta König-Ries, Peter Reimann, Bernhard Seeger, Anika Groß:
Workshop on Big (and Small) Data in Science and Humanities (BigDS 2019). 103-105 - Christopher Rost, Andreas Thor, Erhard Rahm:
Temporal Graph Analysis using Gradoop. 109-118 - Marco Spieß, Peter Reimann:
Angepasstes Item Set Mining zur gezielten Steuerung von Bauteilen in der Serienfertigung von Fahrzeugen. 119-128 - Sabine Wehnert, Wolfram Fenske, Gunter Saake:
Context Selection in a Heterogeneous Legal Ontology. 129-134 - Markus D. Steinberg, Sirko Schindler, Friederike Klan:
Software solutions for form-based, mobile data collection. 135-144 - Cornelia Kiefer:
Quality Indicators for Text Data. 145-154 - Vladimir Udovenko, Alsayed Algergawy:
Entity Extraction in the Ecological Domain - A practical guide. 155-160
Studierendenprogramm
- Manh Khoi Duong:
Automated Architecture-Modeling for Convolutional Neural Networks. 163-172 - Janis Held, Anna Beer, Thomas Seidl:
Chain-detection for DBSCAN. 173-183 - Alexander Kern:
Konzeption und Umsetzung einer DSL zur Informationsfusion auf verteilten heterogenen Graphen. 185-194 - Haralampos Gavriilidis:
Computation Offloading in JVM-based Dataflow Engines. 195-204 - Melissa Gehring, Marcela Charfuelan, Volker Markl:
A Comparison of Distributed Stream Processing Systems for Time Series Analysis. 205-214 - Alexander Baumstark:
Lock-free Data Structures for Data Stream Processing. 215-224 - Sebastian Schmidl, Frederic Schneider, Thorsten Papenbrock:
An Actor Database System for Akka. 225-234 - Denis Hirn:
PgCuckoo - Injecting Physical Plans into PostgreSQL. 235-244 - Sebastian Wilhelm, Armin Gerl:
Policy-based Authentication and Authorization based on the Layered Privacy Language. 245-255
Tutorienprogramm
- Lena Wiese:
Data Analytics with Graph Algorithms - A Hands-on Tutorial with Neo4J. 259-261 - Tanya Braun:
StaRAI or StaRDB? - A Tutorial on Statistical Relational AI. 263-266 - Wolfram Wingerath, Felix Gessert, Norbert Ritter:
NoSQL & Real-Time Data Management in Research & Practice. 267-270
Vorstellung DFG-Schwerpunktprogramm 2037
- Kai-Uwe Sattler, Alfons Kemper, Thomas Neumann, Jens Teubner:
DFG Priority Program SPP 2037: Scalable Data Management for Future Hardware. 273-276
Data Science Challenge 2019
- Hannes Grunert, Holger Meyer:
Die Data Science Challenge auf der BTW 2019 in Rostock. 281-284 - Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner:
Assessing the Impact of Driving Bans with Data Analysis. 287-296 - Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl:
Explanation of Air Pollution Using External Data Sources. 297-300 - Stefan Hagedorn, Kai-Uwe Sattler:
Peaks and the Influence of Weather, Traffic, and Events on Particulate Pollution. 301-302 - Christian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava:
Prediction of air pollution with machine learning. 303-304 - Georges Alkhouri, Moritz Wilke:
Deep Learning zur Vorhersage von Feinstaubbelastung. 305-308
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