Analýza a vizualizace epidemiologických dat

Abstract

The master thesis analyses the possible use of advanced methods for data analysis over epidemiological data. In the first part of the thesis, methods for feature selection and feature extraction, which are described, these methods are divided into different categories where they are further describe. It also describe the data analysis methods specifically clustering, classification/regression and association rules. The practical part initially focuses on visualization of the processed data and exploratory analysis. Then several experiments are performed using feature selection and data analysis methods.

Description

Subject(s)

data preprocessing, feature selection, feature extraction, embedded methods, filter methods, wrapper methods, deep neural network, PCA

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