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
Kruse, S., Papenbrock, T., Harmouch, H., & Naumann, F. (2016). Data Anamnesis: Admitting Raw Data into an Organization. IEEE Data Eng. Bull., 39(2), 8-20. http://sites.computer.org/debull/A16june/p8.pdf
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.
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