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Rafiq Ahmed Mohammed
Rafiq Ahmed Mohammed
Verified email at murdoch.edu.au
Title
Cited by
Cited by
Year
Scalable machine learning techniques for highly imbalanced credit card fraud detection: a comparative study
RA Mohammed, KW Wong, MF Shiratuddin, X Wang
PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim …, 2018
472018
Agent personalized call center traffic prediction and call distribution
RA Mohammed, P Pang
Neural Information Processing: 18th International Conference, ICONIP 2011 …, 2011
72011
Classification of multi-class imbalanced data streams using a dynamic data-balancing technique
RA Mohammed, KW Wong, MF Shiratuddin, X Wang
Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020
42020
PWIDB: A framework for learning to classify imbalanced data streams with incremental data re-balancing technique
RA Mohammed, KW Wong, MF Shiratuddin, X Wang
Procedia Computer Science 176, 818-827, 2020
42020
Improving fraud prediction with incremental data balancing technique for massive data streams
RA Mohammed, KW Wong, MF Shiratuddin, X Wang
arXiv preprint arXiv:1903.00410, 2019
22019
Using personalized model to predict traffic jam in inbound call center
RA Mohammed
EAI Endorsed Transactions on Scalable Information Systems 4 (12), e2-e2, 2017
22017
Personalized call center traffic prediction to enhance management solution with reference to call traffic jam mitigation-A case study on Telecom New Zealand Ltd.
R Mohammed
Auckland University of Technology, 2008
12008
Classification of imbalanced data streams with an adaptive window re-balancing with retaining knowledge framework
RA Mohammed
Murdoch University, 2020
2020
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