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Rule-based decision tree and application to identity fraud detection

  1. A. Abdelhalim and I. Traore, Y. Nakkabi, "Creating decision trees from rules using RBDT-1", Computational Intelligence, Volume 32, Issue 2, May 2016, Pages 216–239, Wiley.

  2. A. Abdelhalim and I. Traore, 8. Abdelhalim A., Traore I. (2010) RBDT-1 Method: Combining Rules and Decision Tree Capabilities. In: Ao SI., Rieger B., Amouzegar M. (eds) Machine Learning and Systems Engineering. Lecture Notes in Electrical Engineering, vol 68. Springer, Dordrecht.

  3. A. Abdelhalim, I. Traore, "Unsupervised identity application fraud detection using rule-based decision tree", Proceedings of 19th International Conference on Software Engineering and Data Engineering (SEDE2010), June 16-18, 2010, San Francisco, CA, USA (8 pages).

  4. A. Abdelahlim, I. Traore, "Identity application fraud detection using web mining and rule-based decision tree", International Journal of Network and Computer Security, Vol. 1, No.1, pp. 31-44, October 2009.

  5. A. Abdelhalim and I. Traore, "A new method for learning decision trees from rules", In the Proceedings of 8th International Conference on Machine Learning and Applications (ICMLA'09), Miami, Florida, USA, December 13-15, 2009.

  6. A. Abdelhalim, I. Traore, B. Sayed, "RBDT-1: a new rule-based decision tree generation technique", In the Proceedings of 3rd International Symposium on Rules, Applications and Interoperability (RuleML09), Las Vegas, Nevada, USA: Nov 5-7, 2009, (14 pages).

  7. A. Abdelhalim, I. Traore, "Converting declarative rules into decision trees", In the Proceedings of the International Conference on Computer Science and Applications, San Francisco, USA, 20-22 October, 2009; (9 pages).

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