Recent Developments in DB&IS (Seminar)
In order to attend, students must follow the registration process outlined below. Each chosen student will be assigned a research paper that they must present in a 45-minute talk, followed by a Q&A session. The presentation and Q&A will be conducted exclusively in English. Finally, students are required to submit a brief 4-page report on the paper within two weeks of the presentation.
Registration Process
- To register, download the JSON template, rename it to {yourmatriculationnumber}.json, fill the details, and send it via email under Contact.
- We'll announce the kick-off meeting date once registration is complete. The meeting is mandatory and will cover organizational aspects.
Deadlines
- Registration: 12-04-2024
- First Meeting with Supervisor & Summary: 28-05-2024
- No-left-todo slides: 09-07-2024
- Camera-ready slides: 19-07-2024
- Seminar Presentation dates: 22-07-2024 (09:00 - 14:00) & 23-07-2024 (09:00 - 12:15)
- Final report submission: 06-08-2024
Log
- 23/07/2024 - Final report template uploaded.
- 10/07/2024 - Presentation dates & time slots announced.
- 29/04/2024 - Kick-off meeting slides & summary template uploaded.
- 22/04/2024 - Kick-off meeting announced (29.04.2024 09:30-10:30 AM).
- 15/04/2024 - Papers assigned.
- 07/03/2024 - Registration dates announced.
Papers
ID | Paper Title | Student | Link |
---|---|---|---|
1 | DB-BERT: A Database Tuning Tool that “Reads the Manual” | Paul Ohler | https://dl.acm.org/doi/10.1145/3514221.3517843 |
2 | Cross-Modal Data Discovery over Structured and Unstructured Data Lakes | Erik Schwede | https://dl.acm.org/doi/pdf/10.14778/3611479.3611533 |
3 | Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes | Jan Heidemann | https://dl.acm.org/doi/pdf/10.1145/3626755 |
4 | Panakos: Chasing the Tails for Multidimensional Data Streams | Omar Al-Kubati | https://www.vldb.org/pvldb/vol16/p1291-zhao.pdf |
5 | Stochastic Database Cracking: Towards Robust Adaptive Indexing in Main-Memory Column-Stores | Jan Karklins | https://arxiv.org/abs/1203.0055 |
6 | Grouping Time Series for Efficient Columnar Storage | Simon Eggers | https://dl.acm.org/doi/10.1145/3588703 |
7 | Sample-Efficient Cardinality Estimation Using Geometric Deep Learning | Daniel Fischer | https://www.vldb.org/pvldb/vol17/p740-reiner.pdf |