Sadeq Darrab
M.Sc. Sadeq Darrab
AG Datenbanken & Software Engineering
Institut für Technische und Betriebliche Informationssysteme (ITI)
Institut für Technische und Betriebliche Informationssysteme (ITI)
Universitätsplatz 2,
39106, Magdeburg,
G29-105
2024
- 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, April
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, David Broneske, and
Gunter Saake.
Exploring
the Predictive Factors of Heart Disease using Rare Association Rule
Mining.
Scientific Reports - Nature, July 2024.
2023
- 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.
2022
- Sadeq Darrab, David Broneske, and
Gunter Saake.
UCRP-miner:
Mining Patterns that Matter.
IEEE, May 2022.
2021
- 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.
2020
- 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.