VLDB-PhD 2021
VLDB 2021 PhD Workshop

Table of Contents

• Preface
  Summary: There were 18 papers submitted for peer-review to the VLDB 2021 PhD workshop. Out of these, 12 papers were accepted for this volumes.

Session 1

• Stream Mining of Complex Event Tensor
  Kota Nakamura
• Exploiting Data Distribution in Distributed Learning of Deep Classification Models under the Parameter Server Architecture
  Nikodimos Provatas
• Integrating Massive Data Streams
  George Siachamis

Session 2

• Context-Free Path Querying In Terms of Linear Algebra
  Rustam Azimov
• SHACL Constraint Validation during SPARQL Query Processing
  Philipp D. Rohde
• Interactive Data Discovery in Data Lakes
  Andra-Denis Ionescu

Keynote

• Living in a Candy Store - from being a PhD Student to Working as a Faculty Member on ML for Systems
  Tim Kraska

Session 3

• Differentiating Relational Queries
  Paul Peseux
• Checking Plausibility in Exploratory Data Analysis
  Hermann Stolte
• Cooperative Techniques for Dealing with Unsatisfactory Answers in RDF Knowledge Bases
  Louise Parkin

Session 4

• Main Memory Databases Instant Recovery
  Arlino Magalhães
• Enhancing JSON Schema Discovery by Uncovering Hidden Data
  Justin Namba
• Towards an Integrated Solution for IoT Data Management
  Anderson Chaves