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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Expert Perspectives on Student Errors in SQL
ACM Transactions on Computing Education (2023) -
HM-EIICT
Journal of Combinatorial Optimization (2022) -
Characterizing Data Scientists' Mental Models of Local Feature Importance
12th Nordic Conference on Human-Computer Interaction: Participative Computing for Sustainable Futures, NordiCHI 2022 (2022) -
Increasing Awareness of SQL Anti-Patterns for Novices: A Study Design
(2022) -
Poster
27th ACM Symposium on Access Control Models and Technologies, SACMAT 2022 (2022)
Contact
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Postal address
Department of Mathematics and Computer ScienceP.O. Box 5135600 MB EindhovenNetherlands -
Visiting address
MetaForumGroene Loper 55612 AP EindhovenNetherlands -
Teamleadg.h.l.fletcher@ tue.nl