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Results: 12
Number of items: 12
  • Open Access
    Karabulut, E., Groth, P., & Degeler, V. (2025). PyAerial: Scalable association rule mining from tabular data. SoftwareX, 31, Article 102341. https://doi.org/10.1016/j.softx.2025.102341
  • Open Access
    Degeler, V., Hadadian, M., Karabulut, E., Lazovik, A., van het Loo, H., Tello, A., & Truong, H. (2025). DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks. In T. Margaria, & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Application Areas: 12th International Symposium, ISoLA 2024, Crete, Greece, October 27–31, 2024 : proceedings (Vol. V, pp. 62-82). (Lecture Notes in Computer Science; Vol. 15223). Springer. https://doi.org/10.1007/978-3-031-75390-9_5
  • Open Access
    Karabulut, E., Daza, D., Groth, P., & Degeler, V. (2025). Discovering Association Rules in High-Dimensional Small Tabular Data. In A. Agiollo, E. Bardhi, G. Ciatto, S. Dumancic, & G. Marra (Eds.), Proceedings of the 1st International Workshop on Advanced Neuro-Symbolic Applications: co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025) : Bologna, Italy, October 26, 2025 (pp. 105-113). (CEUR Workshop Proceedings; Vol. 4125). CEUR-WS. https://ceur-ws.org/Vol-4125/paper_26.pdf
  • Open Access
    Huang, Y., Karabulut, E., & Degeler, V. (2025). Large Language Model for Ontology Learning In Drinking Water Distribution Network Domain. In C. Badenes-Olmedo, I. Novalija, E. Daga, L. Stork, R. G. Pillai, L. Dierickx, B. Kruit, V. Degeler, J. Moreira, B. Zhang, R. Alharbi, Y. He, A. Graciotti, A. Morales Tirado, V. Presutti, & E. Motta (Eds.), Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-PDWT 2024): co-located with 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2024) : Amsterdam, Netherlands, November 26-28, 2024 (CEUR Workshop Proceedings; Vol. 3967). CEUR-WS. https://ceur-ws.org/Vol-3967/ELMKE_2024_paper_1.pdf
  • Open Access
    Karabulut, E., Groth, P., & Degeler, V. (2025). Learning Semantic Association Rules from Internet of Things Data. Neurosymbolic Artificial Intelligence, 1. https://doi.org/10.1177/29498732251377518
  • Open Access
    Karabulut, E., Groth, P., & Degeler, V. (2025). Neurosymbolic Association Rule Mining from Tabular Data. Proceedings of Machine Learning Research, 284, 565-588. https://doi.org/10.48550/arXiv.2504.19354
  • Open Access
    Karabulut, E., Groth, P., & Degeler, V. (2024). 3K: Knowledge-Enriched Digital Twin Framework. In Proceedings of the 14th International Conference on the Internet of Things 2024: IoT2024 : Oulu, Finland, 19.-22. Nov 2024 (pp. 188-193). Association for Computing Machinery. https://doi.org/10.1145/3703790.3703834
  • Open Access
    Karabulut, E., Pileggi, S. F., Groth, P., & Degeler, V. (2024). Ontologies in Digital Twins: A Systematic Literature Review. Future Generation Computer Systems, 153, 442-456. https://doi.org/10.1016/j.future.2023.12.013
  • Karabulut, E., Pileggi, S. F., Groth, P., & Degeler, V. (2023, July 21). Data and Statistics for the SLR entitled "Ontologies in Digital Twins: A Systematic Literature Review" [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8172341
  • Open Access
    Karabulut, E., Degeler, V., & Groth, P. (2023). Semantic Association Rule Learning from Time Series Data and Knowledge Graphs. In A. Waaler, E. Kharlamov, B. Zhou, A. Soylu, D. Kyritsis, D. Roman, O. Savkovic, & S. Staab (Eds.), Proceedings of the Second International Workshop on Semantic Industrial Information Modelling (SemIIM 2023) : co-located with the 22nd International Semantic Web Conference (ISWC 2023) : Greece, Athens, 7 November 2023 Article 3 (CEUR workshop proceedings; Vol. 3647). CEUR-WS. https://doi.org/10.48550/arXiv.2310.07348
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