Vertical Pattern Mining Algorithm for Multiple Support Thresholds. - Sadeq Darrab; Belgin Ergenc (KES, 2017)

RPP Algorithm: A Method for Discovering Interesting Rare Itemsets. - Sadeq Darrab; David Broneske; Gunter Saake (DMBD, 2020)

Analysis of Breast Cancer Detection Using Different Machine Learning Techniques. - Siham A. Mohammed; Sadeq Darrab; Salah A. Noaman; Gunter Saake (DMBD, 2020)

OPECUR: An Enhanced Clustering-Based Model for Discovering Unexpected Rules. - Sadeq Darrab; Priyamvada Bhardwaj; David Broneske; Gunter Saake (ADMA, 2021)

MaxRI: A method for discovering maximal rare itemsets. - Sadeq Darrab; David Broneske; Gunter Saake (DSIT, 2021)

UCRP-miner: Mining Patterns that Matter. - Sadeq Darrab; David Broneske; Gunter Saake (DSIT, 2022)

Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives. - Sadeq Darrab; Harshitha Allipilli; Sana Ghani; Harikrishnan Changaramkulath; Sricharan Koneru; David Broneske; Gunter Saake (AusDM, 2023)

Exploring the Advantages and Limitations of Association Rule Mining and Decision Trees for Pattern Mining in Heart Disease Data. - Sadeq Darrab; Florian Kleinert; David Broneske; Gunter Saake (ADMA (4), 2024)

Enforcing Right to Be Forgotten in Cloud-Based Data Lakes. - Priyamvada Bhardwaj; Sadeq Darrab; David Broneske; Ingo Klose; Gunter Saake (FICC (2), 2024)