Search results
Results: 6
Number of items: 6
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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 -
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
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Mohammed, S., Naumann, F., & Harmouch, H. (2025). Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy. In A. Simitsis, B. Kemme, A. Queralt, O. Romero, & P. Jovanovic (Eds.), Proceedings 28th International Conference on Extending Database Technology (EDBT 2025): Barcelona, Spain, March 25-March 28 (pp. 542-554). (Advances in Database Technology; Vol. 28, No. 3). Open Proceedings. https://doi.org/10.48786/edbt.2025.43
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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
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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
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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
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