Voor de beste ervaring schakelt u JavaScript in en gebruikt u een moderne browser!
Je gebruikt een niet-ondersteunde browser. Deze site kan er anders uitzien dan je verwacht.

Dr. H. (Hazar) Harmouch

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
  • Science Park 900
Postadres
  • Postbus 94323
    1090 GH Amsterdam
Contactgegevens
  • Publicaties

    2026

    • Naumann, F., Ehrlinger, L., Harmouch, H., Mohammed, S., & Srivastava, D. (2026). Data Quality in the Age of AI. In P. K. Chrysanthis, K. Nørvåg, K. Stefanidis, & Z. Zhang (Eds.), Advances in Databases and Information Systems: 29th European Conference, ADBIS 2025, Tampere, Finland, September 23–26, 2025 : proceedings (pp. 3-7). (Lecture Notes in Computer Science; Vol. 16043). Springer. https://doi.org/10.1007/978-3-032-05281-0_1 [details]

    2025

    • Bernasconi, A., Cirillo, S., García S., A., & Harmouch, H. (2025). Editorial: Special Issue on Data quality dimensions in Data FAIRification design and processes. Journal of Data and Information Quality, 17(4), Article 20. https://doi.org/10.1145/3778866 [details]
      • Downloads
    • Jackson, D., Groth, P., & Harmouch, H. (2025). BASIL DB: bioactive semantic integration and linking database. Journal of Biomedical Semantics, 16, Article 14. https://doi.org/10.1186/s13326-025-00336-3 [details]
    • Mohammed, S., Budach, L., Feuerpfeil, M., Ihde, N., Nathansen, A., Noack, N., Patzlaff, H., Naumann, F., & Harmouch, H. (2025). The effects of data quality on machine learning performance on tabular data. Information systems, 132, Article 102549. https://doi.org/10.1016/j.is.2025.102549 [details]
    • Mohammed, S., Ehrlinger, L., Harmouch, H., Naumann, F., & Srivastava, D. (2025). The Five Facets of Data Quality Assessment. SIGMOD Record, 54(2), 18-27. https://doi.org/10.1145/3749116.3749120 [details]
    • Mohammed, S., Naumann, F., & Harmouch, H. (2025). Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy. In Proceedings 28th International Conference on Extending Database Technology (EDBT 2025): Barcelona, Spain, March 25-March 28 (Vol. 3, pp. 542-554). (Advances in Database Technology; Vol. 28). Open Proceedings. https://doi.org/10.48786/edbt.2025.43

    2023

    • Brandner, L. T., Mahlow, P., Wilken, A., Wölke, A., Harmouch, H., & Hirsbrunner, S. D. (2023). How Data Quality Determines AI Fairness: The Case of Automated Interviewing. In 2nd European Workshop on Algorithmic Fairness, EWAF 2023 (CEUR Workshop Proceedings; Vol. 3442). CEUR-WS.
    • Ehrlinger, L., Harmouch, H., Ilyas, I., & Naumann, F. (2023). Preface QDB @ VLDB2023. In Joint Workshops at the 49th International Conference on Very Large Data Bases, VLDBW 2023 (Vol. 3462). (CEUR Workshop Proceedings).

    2021

    • Harmouch, H., Papenbrock, T., & Naumann, F. (2021). Relational header discovery using similarity search in a table corpus. In Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021 (pp. 444-455). Article 9458838 (Proceedings - International Conference on Data Engineering; Vol. 2021-April). IEEE Computer Society Press. https://doi.org/10.1109/ICDE51399.2021.00045

    2019

    • Dürsch, F., Stebner, A., Windheuser, F., Fischer, M., Friedrich, T., Strelow, N., Bleifuß, T., Harmouch, H., Jiang, L., Papenbrock, T., & Naumann, F. (2019). Inclusion dependency discovery: An experimental evaluation of thirteen algorithms. In CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management (pp. 219-228). (International Conference on Information and Knowledge Management, Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3357384.3357916

    2018

    • Berti-E´quille, L., Harmouch, H., Naumann, F., Novelli, N., & Thirumuruganathan, S. (2018). Discovery of genuine functional dependencies from relational data with missing values. Proceedings of the VLDB Endowment, 11(8), 880-892. https://doi.org/10.14778/3204028.3204032
    • Harmouch, H., & Naumann, F. (2018). Cardinality estimation: An experimental survey. Proceedings of the VLDB Endowment, 11(4), 499-512. https://doi.org/10.1145/3164135.3164145

    2016

    2024

    • Mohammed, S., Brandner, L. T., Burtscher, F., Hallensleben, S., Harmouch, H., Hauschke, A., Heesen, J., Hildebrandt, S., Hirsbrunner, S. D., Keselj, J., Mahlow, P., Massow, M., Naumann, F., Rostalski, F., Wilken, A., & Wölke, A. (2024). A Data Quality Glossary. https://doi.org/10.5281/zenodo.10474880

    2019

    • Berti-Équille, L., Harmouch, H., Naumann, F., Novelli, N., & Thirumuruganathan, S. (2019). Discovery of genuine functional dependencies from relational data with missing values. 287-288. Paper presented at 37th Congres INFormatique des ORganisations et Systemes d'Information et de Decision, INFORSID 2019 - 37th Congress on Informatics for Organization, Decision and Information Systems, INFORSID 2019, Paris, France.

    2020

    • Harmouch, H. (2020). Single-column data profiling.
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Nevenwerkzaamheden
    Geen nevenwerkzaamheden
contactgegevens bewerken   bewerk profielinformatie