| Vol-3186 urn:nbn:de:0074-3186-8 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# VLDB-PhD 2022
VLDB 2022 PhD Workshop

### Proceedings of the VLDB 2022 PhD Workshop
co-located with the 48th International Conference on Very Large Databases (VLDB 2022)

### Sydney, Australia, September 5, 2022.

Edited by

### Zhifeng Bao *
Timos Sellis **

* RMIT University, School of Computing Technologies, Melbourne, Australia
** Athena Research Center, Archimedes Research Unit on AI, Data Science and Algorithms, Athens, Greece

## Table of Contents

- Summary: There were 15 papers submitted for peer-review to VLDB 2022 PhD Workshop. Out of these, 10 papers were accepted for this volume.

- Synergy between Quantum Computers and Databases
  Valter Uotila
- Interactive Workflows for Exploratory Data Analysis
  Nourhan Elfaramawy
- Context based Data Quality Rules for Multidimensional Data
  Camila Sanz
- Data Series Similarity Search via Deep Learning
  Qitong Wang
- Building Learned Federated Query Optimizers
  Victor Giannakouris
- Automatic Time-Series Clustering via Network Inference
  Kohei Obata
- High Performance Mixed Graph-Based Concurrency Control
  Jack Waudby
- Scalable Discovery of Queries over Event Streams
  Rebecca Sattler
- Graph Profiling with Graph Generating Dependencies
  Larissa C. Shimomura
- Drove: Tracking Execution Results of Workflows on Large Data
  Sadeem Alsudais

2022-08-03: submitted by Zhifeng Bao, metadata incl. bibliographic data published under Creative Commons CC0
2022-08-16: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|