Projecten per jaar
Organisatieprofiel
Introductie / missie
The Database (DB) group studies core engineering and foundational challenges in scalable and effective management of Big Data.
Highlighted phrase
Getting more out of Big Data through faster and better insights
Organisatieprofiel
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.
A current research focus in the DB group is on problems in the management of massive graphs, such as social networks, linked open data, financial networks, communication networks, mobility networks, and biological networks. In response to the accelerating growth of graph-structured data collections, the popularity and adoption of graph management systems has increased tremendously in recent years. However, current solutions suffer from poor scalability and efficiency. The DB group is actively developing the fundamental technologies to overcome these limitations in the state of the art.
The DB group impacts the broader community through open-source software development and dissemination of research results. The group is also highly active in industrial R&D collaborations, training and mentoring of early-career scientists, and serving on international efforts such as the LDBC Graph Query Language Standardization Task Force.
Academic and industrial partners include leading research groups in Europe, Asia, and North America. Recent collaborators include Oracle Labs, Neo4j, University of Toronto, National University of Singapore, University of Lyon 1, and TU Dresden. The team has received research grants from the Netherlands Organization for Scientific Research (NWO) and companies such as Oracle Labs USA to support their fundamental research in the field of database systems.
Recent results include:
- G-CORE: A core for future graph query languages. SIGMOD 2018.
- Tink: A temporal graph analytics library for Apache Flink. WWW 2018.
- Landmark indexing for evaluation of label-constrained reachability queries. SIGMOD 2017.
- gMark: schema-driven generation of graphs and queries. IEEE TKDE 2017.
- Clustering-structure representative sampling from graph streams. COMPLEX NETWORKS 2017.
- Query planning for evaluating SPARQL property paths. SIGMOD 2016.
Vingerafdruk
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Profielen
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A. Ashkey Elizabeth Bince
- Mathematics and Computer Science, Database Group - Promovendus-TA
Persoon: OWP : Docent / Onderzoeker
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Daniele Bonetta
- Mathematics and Computer Science, Database Group - Universitair Docent
Persoon: UD : Universitair Docent
projecten
- 1 Actief
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MATTER - Maintenance Assistant for Timebound Troubleshooting and Event Resolution - RVO referentienummer TKI2212P18
Fletcher, G. H. L. (Project Manager)
1/01/21 → 31/08/27
Project: Onderzoek direct
Onderzoeksoutput
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A canon is a blunt force instrument: data science, canons, and generative frictions
de Groot, A., Fletcher, G. H. L., van Manen, G., Saxena, A., Serebrenik, A. & Taylor, L. E. M., 3 sep. 2024, Dialogues in Data Power Shifting Response-abilities in a Datafied World. Jarke, J. & Bates, J. (uitgave). Bristol University Press, blz. 186-214Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Hoofdstuk › Academic › peer review
Open Access -
Beyond the Dimensions: A Structured Evaluation of Multivariate Time Series Distance Measures
d'Hondt, J. E., Papapetrou, O. & Paparrizos, J., 17 jun. 2024, 2024 IEEE 40th International Conference on Data Engineering Workshops, ICDEW 2024. Institute of Electrical and Electronics Engineers, blz. 107-112 6 blz. 10555114Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand2 Citaten (Scopus) -
Efficient detection of multivariate correlations with different correlation measures
d’Hondt, J. E. (Corresponding author), Minartz, K. & Papapetrou, O., mrt. 2024, In: The VLDB Journal. 33, 2, blz. 481-505 25 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand2 Citaten (Scopus)58 Downloads (Pure)
Prijzen
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Best Paper Award
Punter, W. R. (Ontvanger), Papapetrou, O. (Ontvanger) & Garofalakis, M. N. (Ontvanger), 29 aug. 2024
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Bestand -
Best Paper Nomination
Taipalus, T. (Ontvanger), Miedema, D. E. (Ontvanger) & Aivaloglou, E. (Ontvanger), 10 jul. 2023
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
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ICER 2021 Honorable Mention
Miedema, D. E. (Ontvanger), Aivaloglou, E. (Ontvanger) & Fletcher, G. H. L. (Ontvanger), 2021
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Knipsels
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Andreassen vs. O’Dell for Saugerties town justice
21/10/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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BSI: BLOOM FILTER-BASED SEMANTIC INDEXING FOR UNSTRUCTURED P2P NETWORKS
17/07/20
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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PROGRESS 2019: A brief historical overview of local industries
31/12/19
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
Scripties/Masterproeven
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A computational biology framework: a data analysis tool to support biomedical engineers in their research
Beishuizen, T. P. A. (Auteur), Bosnacki, D. (Afstudeerdocent 1), Cheplygina, V. (Afstudeerdocent 2), Hilbers, P. A. J. (Afstudeerdocent 2), Fletcher, G. (Afstudeerdocent 2) & Vanschoren, J. (Afstudeerdocent 2), 29 nov. 2018Scriptie/Masterproef: Master
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Activity Recognition Using Deep Learning in Videos under Clinical Setting
Srinivasan, V. (Auteur), Duivesteijn, W. (Afstudeerdocent 1), Papapetrou, O. (Afstudeerdocent 2), Zhang, L. (Externe coach) & Vasu, J. D. (Externe coach), 28 jan. 2020Scriptie/Masterproef: Master
Bestand -
Adopting the factorized model of execution in a graph database engine
Wortel, K. Y. (Auteur), Yakovets, N. (Afstudeerdocent 1) & van de Wall, A. A. G. (Afstudeerdocent 2), 19 dec. 2022Scriptie/Masterproef: Master
Bestand