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|