Seminar Database Systems (PhD, MSc, BSc)


Michael Böhlen,  Sven Helmer and  Paolo Penna
Teaching language: English
Level: Advanced BSc, MSc and PhD students
Academic Year: Spring 2020

Monday 17.2.2020, 17.00 - 18.30, UZH, BIN 2.A.01
Saturday 25.4.2020, 9.00 - 17.00, UZH, BIN 2.A.01
Saturday 23.5.2020, 9.00 - 17.00, ETH, tba

Overview and objectives: The area of this year's seminar is Time Series. Students learn how to critically read and study research papers, how to summarize the contents of a paper, and how to present it in a seminar.

Teaching format: Each participant writes a self-contained report of about 10 pages and gives a 30 minutes presentation (blackboard, without a computer). Each participant has a buddy. Buddies read the report, make suggestions for improvements, and help with the presentation (e.g., dry runs). The first version of the report is due three weeks before the date of the presentation. This first version of the report and presentation will be discussed with the buddy and the teacher about two weeks before the presentation. The final versions of the report are due one week before the presentation.

Enrollment: The enrollment opens January 15, 2020 at 1pm and is handled via SDBS@OLAT. There are 18 slots in total. The first six slots of each institution are allocated first come, first served. The remaining six slots are allocated to meet constraints.

Setup and Organization: The setup of the seminar will be discussed Monday, February 17, 2020 from 17:00 until 18:30 in room BIN 2.A.01 at UZH. At the first meeting the available slots for the seminar will be distributed and papers will be assigned.


  • Saturday April 25, BIN 2.A.01
  • ​Saturday May 23, tba

Participation at all three meetings is compulsory. The assessment depends on the quality of the report, presentation, active participation during the seminar, and input as a buddy.

Useful links:

  • How to give talks and read papers: link


1. Distance

2. Systems

3. Matrix Decomposition

4. Correlation

5. Pattern Matching

6. Streaming


Saturday, April 25, 2020

Topic Presenter Buddy Advisor

Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases (PDF, 478 KB)

Rabiya Abdullah Monica Chiosa Paolo Penna

FTW: Fast Similarity Search under the Time Warping Distance (PDF, 534 KB)

Mohammadamin Khashkhashi Moghaddam Manuel Beyeler Paolo Penna

Experiencing SAX: a Novel Symbolic Representation of Time Series (PDF, 1022 KB)

Omnia Elsaadany Guillaume Comte Paolo Penna

Experimental comparison of representation methods and distance measures for time series data (PDF, 1 MB)

Sven Glauser Yuaho Yao Michael Böhlen

ChronicleDB: A High-Performance Event Store (PDF, 688 KB)

Alexander Schindler Guillaume Wang Sven Helmer

StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time (PDF, 371 KB)

Blagoja Trajkovski Adrian Seiterle Sven Helmer

Time Series Management Systems: A Survey (PDF, 4 MB)

Juan Diaz Sada Julian Minder Sven Helmer

Faster Matrix Completion Using Randomized SVD (PDF, 4 MB)

Yuang Cheng Tom Wartmann

Michael Böhlen

Memory-efficient Centroid Decomposition for Long Time Series (PDF, 617 KB)

Mark Szasz Fan Feng Michael Böhlen

Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation (PDF, 283 KB)

- - -

Saturday, May 23, 2020

Topic Presenter Buddy Advisor

BRAID: Stream Mining through Group Lag Correlations (PDF, 1 MB)

Monica Chiosa Omnia Elsaadany Sven Helmer

Fast Approximate Correlation for Massive Time-series Data (PDF, 540 KB)

Manuel Beyeler Juan Diaz Sada Sven Helmer

Discovering Longest-lasting Correlation in Sequence Databases (PDF, 2 MB)

Guillaume Comte Rabiya Abdullah Sven Helmer

DynaMMo: mining and summarization of coevolving sequences with missing values (PDF, 598 KB)

Julian Minder Mohammadamin Khashkhashi Moghaddam Paolo Penna

Continuous Imputation of Missing Values in Streams of Pattern-Determining Time Series​​​​​​​ (PDF, 1 MB)

Yuhao Yao Alexander Schindler Michael Böhlen

ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data (PDF, 1 MB)

Tom Wartmann Blagoja Trajkovski Paolo Penna

Streaming PCA and Subspace Tracking: The Missing Data Case (PDF, 5 MB)

Guillaume Wang Sven Glauser Paolo Penna

Streaming Pattern Discovery in Multiple Time-Series (PDF, 1 MB)

Fan Feng Yuang Cheng Michael Böhlen

ASAP: Prioritizing Attention via Time Series Smoothing (PDF, 615 KB)​​​​​​​

Adrian Seiterle Mark Szasz Michael Böhlen