VLDB 2026 Research / reviewers in the wild / expert

Matthias Volk 0002

dblp:116/2813-2 · DBLP profile ↗
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10ranked-venue papers
2as first author
5since 2021 · last 2022
0000-0002-4835-919XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 8 · 2 first-author · 4 since 2021Human-computer interaction and ubiquitous computing · 2 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021
YearPublicationVenuePosition
2022 Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation
Tobias Altenburg, Matthias Volk 0002, Daniel Staegemann, Klaus Turowski
 IoTBDS2
2022 Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case
Daniel Staegemann, Matthias Volk 0002, Priyanka Byahatti, Nikhilkumar Italiya, Suhas Shantharam, Apoorva Byaladakere Chandrashekar, Klaus Turowski
 IoTBDS2
2021 Towards a Systematic Requirements Engineering for IT System-based Business Simulation Games
Robert Häusler, Marcus Tröger, Daniel Staegemann, Matthias Volk 0002, Klaus Turowski
 CSEDU (1)4
2021 A Preliminary Overview of the Situation in Big Data Testing
Daniel Staegemann, Matthias Volk 0002, Matthias Pohl, Robert Häusler, Abdulrahman Nahhas, Mohammad Abdallah, Klaus Turowski
 IoTBDS2
2021 Challenges in Data Acquisition and Management in Big Data Environments
Daniel Staegemann, Matthias Volk 0002, Akanksha Saxena, Matthias Pohl, Abdulrahman Nahhas, Robert Häusler, Mohammad Abdallah, Sascha Bosse, Naoum Jamous, Klaus Turowski
 IoTBDS2
2020 Generating Content-Compliant Training Data in Big Data Education
Robert Häusler, Daniel Staegemann, Matthias Volk 0002, Sascha Bosse, Christian Bekel, Klaus Turowski
 CSEDU (1)3
2020 Approaching the (Big) Data Science Engineering Process
Matthias Volk 0002, Daniel Staegemann, Sascha Bosse, Robert Häusler, Klaus Turowski
 IoTBDS1
2020 Classifying Big Data Taxonomies: A Systematic Literature Review
Daniel Staegemann, Matthias Volk 0002, Alexandra Grube, Johannes Hintsch, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
 IoTBDS2
2020 Determining Potential Failures and Challenges in Data Driven Endeavors: A Real World Case Study Analysis
Daniel Staegemann, Matthias Volk 0002, Tuan Vu, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
 IoTBDS2
2019 Challenging Big Data Engineering: Positioning of Current and Future Development
abstract
This contribution examines the terms of big data and big data engineering, considering the specific characteristics and challenges. Deduced by those, it concludes the need for new ways to support the creation of corresponding systems to help big data in reaching its full potential. In the following, the state of the art is analysed and subdomains in the engineering of big data solutions are presented. In the end, a possible concept for filling the identified gap is proposed and future perspectives are highlighted.
Matthias Volk 0002, Daniel Staegemann, Matthias Pohl, Klaus Turowski
 IoTBDS1