Lernen. Wissen. Daten. Analysen. - Learning. Knowledge. Data. Analytics.

LWDA 2021 hosted by the Munich Center for Machine Learning (MCML), Munich, 01.09–03.09.2021.

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Fachgruppe Datenbanksysteme - Data Engineering for Data Science

(SIG Database Systems - Data Engineering for Data Science)

The track “Database Systems - Data Engineering for Data Science” will be coupled with a special issue of the Datenbankspektrum journal: Papers accepted for publication at Datenbankspektrum will be invited to be presented as “abstract papers” at LWDA 2021.

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Schedule

Wednesday, Sep 1st, 13:30-16:00

• 13:30-13:40
  Opening

• 13:40-14:00
  Peter K. Schwab, Jonas Röckl, Maximilian S. Langohr, Klaus Meyer-Wegener: Performance Evaluation of Policy-Based SQL Query Classification for Data-Privacy Compliance

• 14:00-14:20
  Ioannis Prapas, Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Volker Markl: Continuous Training and Deployment of Deep Learning Models

• 14:20-14:40
  Chris-Marian Forke, Marina Tropmann-Frick: Feature Engineering as a Part of Data Processing for Spatio-Temporal Data

• 14:40-14:55
  Pause

• 14:55-15:15
  Daniyal Kazempour, Johannes Winter, Peer Kröger, Thomas Seidl: On Methods and Measures for Inspection and Evaluation of Arbitrarily Oriented Subspace Clusters

• 15:15-15:35
  Ulf Leser, Marcus Hilbrich, Claudia Draxl, Peter Eisert, Lars Grunske, Patrick Hostert, Dagmar Kainmüller, Odej Kao, Birte Kehr, Timo Kehrer, Christoph Koch, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert, Kerstin Ritter, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich: FONDA – Foundations of Workflows for Large-Scale Analysis of Scientific Data

• 15:35-15:55
  Lars Kegel, Claudio Hartmann, Maik Thiele, Wolfgang Lehner: Season- and Trend-aware Symbolic Approximation for Accurate and Efficient Time Series Matching**

Thursday, Sep 2nd, 11:00-12:30

• 11:00-11:20
  Thomas Weißgerber, Mehdi Ben Amor, Christofer Fellicious, Michael Granitzer: PyPads - Transparent Machine Learning Experiment Tracking

• 11:20-11:40
  Alexander Schoenenwald, Simon Kern, Josef Viehhauser, Johannes Schildgen: Collecting and visualizing data lineage of Spark jobs

• 11:40-12:00
  Meike Klettke, Uta Störl: Four Generations in Data Engineering for Data Science – The Past, Presence and Future of a Field of Science

• 12:00-12:30
  Jörg Desel, Daniel Krupka, Julia Meisner: GI entwickelt Empfehlungen zur Gestaltung von Data-Science-Masterstudiengängen

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The call for papers for the Datenbankspektrum journal follows below

Data engineering is a crucial part of any data science project: Data collection and metadata management are the prerequisite of any meaningful analysis and, in practice, take up the bulk of time spent in data science projects. This special issue of Datenbankspektrum is an initiative of the newly founded DBIS working group “Data Engineering for Data Science”. We intend to provide a venue for discussions, interactions and collaborations on the potential of data management research to data science Projects. We call for articles that report on novel contributions in this area, such as:

• Interplay between data engineering and data science.
• Dedicated database and dataflow architectures.
• Managing data and event streams.
• Scalable data processing in data science.
• Managing metadata in data science projects.
• Data provenance in data science projects.
• Reproducibility and replicability of data analysis.
• Knowledge discovery in data science applications.
• Data and information visualization.
• Data and information flow engineering and management.
• Privacy preserving data, information, and information systems.
• Development of dedicated benchmarks for evaluating data engineering solutions.
• Expected size of the paper: 8–10 pages, double-column (cf. the author guidelines at www.springer.com/13222).

Contributions either in German or in English are welcome. The contributions can be submitted to: https://www.editorialmanager.com/dasp/default.aspx

Deadline for submissions: June 1st, 2021

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Guest Editors

• Ralf Schenkel, Universität Trier: schenkel@uni-trier.de
• Stefanie Scherzinger, Universität Passau: stefanie.scherzinger@uni-passau.de
• Marina Tropmann-Frick, HAW Hamburg: marina.tropmann-frick@haw-hamburg.de