International Journal of Probability and Statistics

International Journal of Probability and Statistics aims to publish refereed, well-written original research articles, and studies that describe the latest research and developments in the area of probability and statistics, and to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in the area of Probability and Statistics.


Nor azuana Ramli

Senior Lecturer, Electrical Engineering Section, Universiti Kuala Lumpur, International College, Malaysia

Research Areas

Time series, applied statistics, machine learning, pattern recognition, data mining

Publications: Journals

[1]  Measuring the accuracy of currency crisis prediction with combined classifiers in designing early warning system. Machine Learning June 2014 (published online)
[2]  An analysis on two different data sets by using ensemble of k-nearest neighbor classifiers. WSEAS Transactions on Mathematics Vol. 13 (2014): pg 780-789
[3]  Application of fuzzy optimization and time series for early warning system in predicting currency crisis. Malaysian Journal of Mathematical Sciences 8(2): 239-253
[4]  Do the choices of indicators affect the predictability in modeling an early warning system for currency crisis? An analysis. International Business Management 8(2): 64-75
[5]  Early warning systems for currency crisis: an analysis by using nearest neighbor tree. New Mathematics and Natural Computation (submitted)

Publications: Conferences/Workshops/Symposiums

[1]  A novel nearest neighbour tree for currency crisis forecasting. Presented at Proceedings of the 16th International Conference on Mathematical and Computational Methods in Science and Engineering, Kuala Lumpur, Malaysia (pp. 113-120).
[2]  Currency crisis indication by using ensembles of support vector machine classifiers. AIP Conference Proceedings 1605, pg. 1013-1018 (2014)
[3]  Designing early warning system: prediction accuracy of currency crisis by using k-nearest neighbor method. Presented at World Academy of Science, Engineering and Technology, Singapore (pp. 1061-1066)

Publications: Books/Book Chapters

[1]  Designing Early Warning System: Prediction Accuracy of Currency Crisis by using k-Nearest Neighbour Method. LAP Lambert Academic Publishing (2013).