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Sadeq Darrab

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2020 – today

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2023
[c7]
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  - conf/ausdm/DarrabAGCKBS23
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Sadeq Darrab, Harshitha Allipilli, Sana Ghani, Harikrishnan Changaramkulath, Sricharan Koneru, David Broneske, Gunter Saake:
Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives. AusDM 2023: 90-104
2022
[c6]
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Sadeq Darrab, David Broneske, Gunter Saake:
UCRP-miner: Mining Patterns that Matter. DSIT 2022: 1-7
2021
[c5]
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  - conf/adma/DarrabBBS22
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Sadeq Darrab, Priyamvada Bhardwaj, David Broneske, Gunter Saake:
OPECUR: An Enhanced Clustering-Based Model for Discovering Unexpected Rules. ADMA 2021: 29-41
[c4]
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Sadeq Darrab, David Broneske, Gunter Saake:
MaxRI: A method for discovering maximal rare itemsets. DSIT 2021: 334-341
2020
[c3]
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  - conf/dmbd/DarrabBS20
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Sadeq Darrab, David Broneske, Gunter Saake:
RPP Algorithm: A Method for Discovering Interesting Rare Itemsets. DMBD 2020: 14-25
[c2]
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  - conf/dmbd/MohammedDNS20
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Siham A. Mohammed, Sadeq Darrab, Salah A. Noaman, Gunter Saake:
Analysis of Breast Cancer Detection Using Different Machine Learning Techniques. DMBD 2020: 108-117

2010 – 2019

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2017
[c1]
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  - conf/kes/DarrabE17
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Sadeq Darrab, Belgin Ergenc:
Vertical Pattern Mining Algorithm for Multiple Support Thresholds. KES 2017: 417-426

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