DATA MINING TEACHING POSSIBILITIES USING MATLAB

Pēteris Grabusts, Aleksejs Zorins

Abstract


The teaching experience in the study process shows that students are better at perceiving graphical information rather than analytical relationships. Many training courses run on models that were previously available only in mathematics or physics. The use of Matlab package for the implementation of various algorithms in the Information Technology fields could be a possible solution. Often, the analytical solution is much simpler than the visual Matlab model, but for the purposes of perspective training it gives understanding of the usefulness of using such models. In the previous articles the authors had given examples of how Matlab's possibilities could be used for economic research purposes (optimal tax rate searching and modelling market equilibrium price). Students are very interested in modern data mining methods, such as artificial neural networks. In the research part of the study, the modelling capabilities in data mining studies are demonstrated by neural network examples.

Keywords


Data Mining; Matlab; modelling; neural networks; perceptron; teaching

Full Text:

PDF

References


Bishop, C.M. (1995). Neural networks for pattern recognition. Oxford: Oxford University Press.

Esfandiari, R.S. (2013). Numerical Methods for Engineers and Scientists Using MATLAB. Chapman & Hall/CRC.

Fausett, L. (1994). Fundamentals of Neural Networks: Architectures, Algorithms and Applications. New York: Prentice Hall International Inc.

Kay, C. (1984). Mathematics for Computer Programmers. New Jersey: Prentice Hall.

Karel, P., & Tomas, Z. (2015). Multimedia Teaching Aid for Students of Basics of Control Theory in Matlab and Simulink. Procedia Engineering, Volume 100, 150–158.

Karris, S.T. (2006). Introduction to Simulink ® with Engineering Applications. Orchard Publications.

Kiusalaas, J. (2016). Numerical Methods in Engineering with MATLAB, 3e. Cambridge University Press.

Rashid, T. (2016). Make Your Own Neural Network. CreateSpace Independent Publishing Platform.

Russel S., & Norvig P. (1995). Artificial Intelligence: A Modern Approach. Englewood Cliffs, NJ: Prentice Hall.

Smith, D. (2013). Engineering Computation with MATLAB, 3e. Pearson Education Inc.

Xue, D., & Chen, Y. (2013). System Simulation Techniques with MATLAB and Simulink. John Wiley & Sons, Inc.




DOI: http://dx.doi.org/10.17770/sie2018vol1.3091

Refbacks

  • There are currently no refbacks.