DATA MINING TEACHING POSSIBILITIES USING MATLAB

被引:0
|
作者
Grabusts, Peteris [1 ]
Zorins, Aleksejs [1 ]
机构
[1] Rezekne Acad Technol, Rezekne, Latvia
关键词
Data Mining; Matlab; modelling; neural networks; perceptron; teaching;
D O I
10.17770/sie2018vol1.3091
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:260 / 271
页数:12
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