Research Group Databases and Software Engineering

Sadeq Darrab

AG Datenbanken & Software Engineering
Institut für Technische und Betriebliche Informationssysteme (ITI)

Universitätsplatz 2, 39106, Magdeburg, G29-105

Tel.: +49 391 67-51849

sadeq.darrab@ovgu.de

Publikationen

Priyamvada Bhardwaj, Sadeq Darrab, David Broneske, Ingo Klose, and Gunter Saake. Enforcing right to be forgotten in cloud-based data lakes. Future of Information and Communication Conference (FICC), Springer, August 2024. published.
Sadeq Darrab, Florian Kleinert, David Broneske, and Gunter Saake. Exploring the Advantages and Limitations of Association Rule Mining and Decision Trees for Pattern Mining in Heart Disease Data. The 20th International Conference on Advanced Data Mining and Applications (ADMA2024), Springer, June 2024. accepted.

Sadeq Darrab, Harshitha Allipilli, Sana Ghani, Harikrishnan Changaramkulath, Sricharan Koneru, David Broneske, and Gunter Saake. Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives. page 90–104. Australasian Conference on Data Science and Machine Learning (AusDM23), Springer, 2023. published.

Sadeq Darrab, David Broneske, and Gunter Saake. UCRP-miner: Mining Patterns that Matter. IEEE, May 2022.

Sadeq Darrab, David Broneske, and Gunter Saake. Modern Applications and Challenges for Rare Itemset Mining. International Journal of Machine Learning and Computing, Volume 11, May 2021.
Sadeq Darrab, David Broneske, and Gunter Saake. MaxRI: A method for discovering maximal rare itemsets. In 2021 4th International Conference on Data Science and Information Technology. ACM, July 2021.
Sadeq Darrab, Priyamvada Bhardwaj, David Broneske, and Gunter Saake. OPECUR: An enhanced clustering-based model for discovering unexpected rules. In 17th anniversary of the International Conference on Advanced Data Mining and Applications (ADMA'21). Springer, October 2021.

Sadeq Darrab, David Broneske, and Gunter Saake. RPP Algorithm: A Method for Discovering Interesting Rare Itemsets. In Fifth International Conference on Data Mining and Big Data (DMBD), volume 1234, pages 14–25. Springer, July 2020.
Siham Mohammed, Sadeq Darrab, Salah Noaman, and Gunter Saake. Analysis of Breast Cancer Detection Using Different Machine Learning Techniques. In Fifth International Conference on Data Mining and Big Data (DMBD), volume 1234, pages 108–117. Springer, July 2020.