Rozhodovací stromy a jejich aplikace při analýze dat

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Hejret, Tomáš

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Vysoká škola báňská - Technická univerzita Ostrava

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Abstract

This master thesis discuses about machine learning methods, comparison of them and more in detail about decision trees method. Related to these methods there are listed methodologies of determination quality of machine learning methods. Thesis also includes description of particular decision trees implementation, which stands as a part of the thesis, experiments with real-life data, performed with the current implementation and evaluated performance according to relevant measure methodologies. At the end of the thesis there is a list of techniques, which could enhance particular implementation in various points of view.

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Import 22/07/2015

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data analysis, data mining, random forests, decision tree, machine learning, supervised learning, classification, regression

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