Abstract is missing.
- 1st Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC)David Broneske, Dirk Habich. 23-25 [doi]
- DPI: The Data Processing Interface for Modern Networks (Extended Abstract)Carsten Binnig. 29-30 [doi]
- First Investigations of the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for Database SystemsJohannes Pietrzyk, Dirk Habich, Patrick Damme, Wolfgang Lehner. 33-50 [doi]
- ReProVide: Towards Utilizing Heterogeneous Partially Reconfigurable Architectures for Near-Memory Data ProcessingAndreas Becher, Achim Herrmann, Stefan Wildermann, Jürgen Teich. 51-70 [doi]
- Query Planning for Transactional Stream Processing on Heterogeneous HardwarePhilipp Götze, Constantin Pohl, Kai-Uwe Sattler. 71-80 [doi]
- Skew-resilient Query Processing for Fast NetworksTobias Ziegler 0001, Carsten Binnig, Uwe Röhm. 81-85 [doi]
- An Overview of Hawk: A Hardware-Tailored Code Generator for the Heterogeneous Many Core AgeSebastian Breß, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl. 87-90 [doi]
- Workload-Driven Data Placement for GPU-Accelerated Database Management SystemsChristopher Schmidt, Matthias Uflacker. 91-94 [doi]
- Workshop Digitale Lehre im Fach DatenbankenThomas C. Rakow, Heide Faeskorn-Woyke. 97-98 [doi]
- Workshop on Big (and Small) Data in Science and Humanities (BigDS 2019)Friederike Klan, Birgitta König-Ries, Peter Reimann 0002, Bernhard Seeger, Anika Groß. 103-105 [doi]
- Temporal Graph Analysis using GradoopChristopher Rost, Andreas Thor, Erhard Rahm. 109-118 [doi]
- Angepasstes Item Set Mining zur gezielten Steuerung von Bauteilen in der Serienfertigung von FahrzeugenMarco Spieß, Peter Reimann 0002. 119-128 [doi]
- Context Selection in a Heterogeneous Legal OntologySabine Wehnert, Wolfram Fenske, Gunter Saake. 129-134 [doi]
- Software solutions for form-based, mobile data collectionMarkus D. Steinberg, Sirko Schindler, Friederike Klan. 135-144 [doi]
- Quality Indicators for Text DataCornelia Kiefer. 145-154 [doi]
- Entity Extraction in the Ecological Domain - A practical guideVladimir Udovenko, Alsayed Algergawy. 155-160 [doi]
- Automated Architecture-Modeling for Convolutional Neural NetworksManh Khoi Duong. 163-172 [doi]
- Chain-detection for DBSCANJanis Held, Anna Beer, Thomas Seidl 0001. 173-183 [doi]
- Konzeption und Umsetzung einer DSL zur Informationsfusion auf verteilten heterogenen GraphenAlexander Kern. 185-194 [doi]
- Computation Offloading in JVM-based Dataflow EnginesHaralampos Gavriilidis. 195-204 [doi]
- A Comparison of Distributed Stream Processing Systems for Time Series AnalysisMelissa Gehring, Marcela Charfuelan, Volker Markl. 205-214 [doi]
- Lock-free Data Structures for Data Stream ProcessingAlexander Baumstark. 215-224 [doi]
- An Actor Database System for AkkaSebastian Schmidl, Frederic Schneider, Thorsten Papenbrock. 225-234 [doi]
- PgCuckoo - Injecting Physical Plans into PostgreSQLDenis Hirn. 235-244 [doi]
- Policy-based Authentication and Authorization based on the Layered Privacy LanguageSebastian Wilhelm, Armin Gerl. 245-255 [doi]
- Data Analytics with Graph Algorithms - A Hands-on Tutorial with Neo4JLena Wiese. 259-261 [doi]
- StaRAI or StaRDB? - A Tutorial on Statistical Relational AITanya Braun. 263-266 [doi]
- NoSQL & Real-Time Data Management in Research & PracticeWolfram Wingerath, Felix Gessert, Norbert Ritter. 267-270 [doi]
- DFG Priority Program SPP 2037: Scalable Data Management for Future HardwareKai-Uwe Sattler, Alfons Kemper, Thomas Neumann 0001, Jens Teubner. 273-276 [doi]
- Die Data Science Challenge auf der BTW 2019 in RostockHannes Grunert, Holger Meyer 0001. 281-284 [doi]
- Assessing the Impact of Driving Bans with Data AnalysisLucas Woltmann, Claudio Hartmann, Wolfgang Lehner. 287-296 [doi]
- Explanation of Air Pollution Using External Data SourcesMahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl. 297-300 [doi]
- Peaks and the Influence of Weather, Traffic, and Events on Particulate PollutionStefan Hagedorn, Kai-Uwe Sattler. 301-302 [doi]
- Prediction of air pollution with machine learningChristian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava. 303-304 [doi]
- Deep Learning zur Vorhersage von FeinstaubbelastungGeorges Alkhouri, Moritz Wilke. 305-308 [doi]