American Journal of Intelligent Systems

American Journal of Intelligent Systems is a peer reviewed journal in the field of intelligent systems and applications. The aim is to provide a common scientific forum for all the different disciplines contributing to this area, ranging from the social, human and computer sciences to the analysis and application of information technology.


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).