A use of data mining methods in the Czech republic and in the world

作者: Jan Brčák , Mikuláš Gangur

DOI: 10.24132/JBT.2018.8.3.14_23

关键词:

摘要: The data mining or a knowledge discovery from becomes more significant these days. Our world faces an enormous amount of which are produced every day. It is important to use clever softwares help companies sort the information and them in right way. Regarding areas it describes methods used briefly most them. Overall contains overview 33 methods. Czech Republic based on revisions 42 articles focused application result world revision decision tree, including C4.5 tree classification regression genetic algorithm, k-nearest neighbor, multilayer perceptron neural network, Naive Bayes, support vector machine, association rule, expectation maximization k-means. For mix were found they went through whole spectrum all business, environment healhtcare. Between main often are decision its variations, trees, network logistic regression. comparison satisfactory – same as well rest world. purpose this article provide commonly different Another goal various where with regard resources dealing conducted research made by authors shows trend growth new published Republic. also that popular spheres could be educational sectors.

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