• P.O. Box 513, Department of Mathematics and Computer Science

    5600 MB Eindhoven

    Nederland

  • Groene Loper 5, MetaForum

    5612 AP Eindhoven

    Nederland

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

Over de organisatie

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 Verdiep u in de onderzoeksgebieden waarop Database Group actief is. Deze onderwerplabels komen uit het werk van de leden van deze organisatie. Samen vormen ze een unieke vingerafdruk.

  • Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.

    Onderzoeksoutput

    Comparing the expressiveness of downward fragments of the relation algebra with transitive closure on trees

    Hellings, J., Gyssens, M., Wu, Y., van Gucht, D., van den Bussche, J., Vansummeren, S. & Fletcher, G. H. L., mrt 2020, In : Information Systems. 89, 16 blz., 101467.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • 1 Downloads (Pure)

    On local and global graph structure mining

    Pei, Y., 5 feb 2020, Eindhoven: Technische Universiteit Eindhoven. 198 blz.

    Onderzoeksoutput: ScriptieDissertatie 1 (Onderzoek TU/e / Promotie TU/e)

    Open Access
    Bestand

    An experimental study of context-free path query evaluation methods

    Kuijpers, J., Fletcher, G., Yakovets, N. & Lindaaker, T., 23 jul 2019, Proceedings of the 31st International Conference on Scientific and Statistical Database Management, SSDBM 2019. Malik, T., Maltzahn, C. & Jimenez, I. (redactie). New York: Association for Computing Machinery, Inc, blz. 121-132 12 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • 1 Downloads (Pure)

    Knipsels

    12th edbt summer school on graph data management

    George H.L. Fletcher

    5/04/15

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    17th international workshop on the web and databases (WEBDB 2014)

    George H.L. Fletcher

    4/04/14

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Call: Snowbird, Utah will host International Workshop on the Web and Databases

    George H.L. Fletcher

    25/02/14

    2 items van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Scripties/Masterproeven

    A computational biology framework: a data analysis tool to support biomedical engineers in their research

    Auteur: Beishuizen, T., 29 nov 2018

    Begeleider: Bosnacki, D. (Afstudeerdocent 1), Cheplygina, V. (Afstudeerdocent 2), Hilbers, P. (Afstudeerdocent 2), Fletcher, G. (Afstudeerdocent 2) & Vanschoren, J. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Anomaly detection on vibration data

    Auteur: Siganos, A., 28 okt 2019

    Begeleider: Hess, S. (Afstudeerdocent 1), Pechenizkiy, M. (Afstudeerdocent 2), Yakovets, N. (Afstudeerdocent 2) & Uusitalo, J. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master

    Bestand

    Artifact-centric log extraction for cloud systems

    Auteur: Santana Calvo, H., 27 nov 2017

    Begeleider: Fahland, D. (Afstudeerdocent 1), Serebrenik, A. (Afstudeerdocent 2) & Fletcher, G. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand