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Researcher
Hamzah QABBAAH
- Keywords:Economics and applied economics
- Disciplines:Business economics
Affiliations
- Business Informatics (Research group)
Member
From27 Oct 2014 → 31 Dec 2021 - Quantitative Methods (Department)
Member
From27 Oct 2014 → 31 Dec 2021 - Faculty of Business Economics (Faculty)
Member
From27 Oct 2014 → 31 Dec 2021
Publications
1 - 6 of 6
- Leveraging Parcel Descriptions Using Data Mining Approach As Enabler for Customs Fraud Detection and Data Monetisation Applications(2021)
Authors: Hamzah QABBAAH, Koen VANHOOF
Number of pages: 207 - USING APRIORI ASSOCIATION RULES AND DECISION TREE ANALYSIS FOR DETECTING CUSTOMS FRAUD(2020)
Authors: Hamzah QABBAAH, George SAMMOUR, Koen VANHOOF
Pages: 203 - 228 - USING VISUAL ANALYTICS AND K-MEANS CLUSTERING FOR MONETISING LOGISTICS DATA, A CASE STUDY WITH MULTIPLE E-COMMERCE COMPANIES(2020)
Authors: Hamzah QABBAAH, George SAMMOUR, Koen VANHOOF
Pages: 3 - 39 - Using K-Means Clustering and Data Visualization for Monetizing logistics Data(2019)
Authors: Hamzah QABBAAH, George SAMMOUR, Koen VANHOOF
Pages: 164 - 169 - Development of Customs Prediction Model for Online Ordering(2018)
Authors: Lina I. Sharawi, Hamzah QABBAAH, George SAMMOUR, Koen VANHOOF
Pages: 94 - 97 - Unraveling Bi-Lingual Multi-feature based Text Classification: A case study(2017)
Authors: Aziz YARAHMADI, Mathijs CREEMERS, Hamzah QABBAAH, Koen VANHOOF
Pages: 3 - 19