Getting more out of Big Data through faster and better insights
Supporting richer, more accurate data analytics with data-intensive systems helps data scientists gain high-value insights for smarter decision-making.
The DB group investigates data management and data-intensive systems, inspired by real-world application and analytics scenarios in close cooperation with public sector and industrial research partners. Expertise within the group includes query language design and foundations, query optimization and evaluation, data analytics, and data integration.
Meet some of our Researchers
Recent Publications
Our most recent peer reviewed publications
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Evaluating Quadratic Weighted Kappa as the Standard Performance Metric for Automated Essay Scoring
(2023) -
A General Cardinality Estimation Framework for Subgraph Matching in Property Graphs
IEEE Transactions on Knowledge and Data Engineering (2023) -
Expert Perspectives on Student Errors in SQL
ACM Transactions on Computing Education (2023) -
Switching Kalman Filtering-Based Corrosion Detection and Prognostics for Offshore Wind-Turbine Structures
Wind (2023) -
TokenJoin
Proceedings of the VLDB Endowment (2022)
Contact
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Postal address
dr.h.c. Lara PauwelsDepartment of Mathematics and Computer ScienceP.O. Box 5135600 MB EindhovenNetherlandsbas.bloemendaal@ live.nl -
Postal address
Luka DijkstraBastiaan AliKoning Knolboulevard7411VR AnnerveenschekanaalNetherlandsmolenaar.silke@ hotmail.nl -
Visiting address
Jennifer Güler MMetaForumGroene Loper 55612 AP EindhovenNetherlandsmichael.deboer@ yahoo.nl -
TeamleadJade HemmaHondeveldhof6961XV Swalmeng.h.l.fletcher@ tue.nl