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Recognition of emotions in text using artificial intelligence
Vylíčil, Radek ; Karásek, Jan (referee) ; Mašek, Jan (advisor)
This thesis deals with the recognition of emotions from text using machine learning. The text describes methods how to train and test an recognition models. The main contribution of this thesis consists in creation decision tree in Java programming language. Created algorithm was integrated as plugin into the RapidMiner tool. The thesis contains some created examples for executing in RapidMiner. The functionality of decision tree was demonstrated on created database.
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Sleep stage classification
Lacinová, Michaela ; Smital, Lukáš (referee) ; Králík, Martin (advisor)
This bachelor thesis deals with analysis of polysomnography and its methods of measurement in electroencephalography, electromyography and electrooculography in the first part. It comprises an analysis of sleep stages recommended by the AASM. Polysomnographic data are further analysed in the domains of time and frequency, which are evaluated separately. In the second part the data are classified into particular classes using methods of decision trees and k-nearest neighbours in the MATLAB programming environment. These data are evaluated and compared with available literature.
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Optimization of DDoS Mitigation Rule Inference
Carasec, Elena ; Grégr, Matěj (referee) ; Žádník, Martin (advisor)
Tato práce se zabývá možností využití algoritmů strojového učení pro ochranu proti DDoS útokům. Pro klasické a inkrementální (online) učení jsou uvažovány vysvětlitelné metody učení s učitelem, zejména rozhodovací stromy. Dále jsou představeny některé možné optimalizace pro zvýšení přesnosti klasifikace provozu a snížení množství blokovaného legitimního provozu.
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Use of Data Mining in Company Processes
Měchura, Dalibor ; Kříž, Jiří (referee) ; Luhan, Jan (advisor)
This masters thesis focuses on data mining techniques and business intelligence analysis. In accordance with the analysis of the current situation in the company, a complementary solution to the problem is proposed and a view of the existing data is provided from a different perspective, namely using RapidMiner. The output of the thesis is thus concrete analytical outputs for decision support in the company.
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Use of Data Mining for Payment Identification
Bartoš, Stanislav ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This master thesis concentrates on design and implementation of a system for payment identification, even if the reliable identifier (e.g. variable symbol) is missing. Data mining techniques, such as classification and prediction, were used as a solution to this problem. This master thesis is company assignment for company "Platební instituce Roger a.s.".
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A computer vision system for emotion recognition
Wójcik, Jan ; Bilík, Šimon (referee) ; Janáková, Ilona (advisor)
The term paper deals with the design of an emotion recognition system, which will be used as a communication tool for people with autism spectrum disorder. Camera data will be used for emotion recognition, so it will be a computer vision application. The work deals with areas such as face detection, extraction of relevant features, finding a suitable dataset or designing a classifier.
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Optimization of DDoS Mitigation Rule Inference
Carasec, Elena ; Grégr, Matěj (referee) ; Žádník, Martin (advisor)
Tato práce se zabývá možností využití algoritmů strojového učení pro ochranu proti DDoS útokům. Pro klasické a inkrementální (online) učení jsou uvažovány vysvětlitelné metody učení s učitelem, zejména rozhodovací stromy. Dále jsou představeny některé možné optimalizace pro zvýšení přesnosti klasifikace provozu a snížení množství blokovaného legitimního provozu.
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Finding guanine quadruplexes in DNA using decision trees
Kotrys, Kryštof ; Šťastný, Jiří (referee) ; Kaura, Patrik (advisor)
This bachelor’s thesis is focused on creating a functional decision tree model for detection of guanine quadruplexes in the DNA. The first part of the thesis summarizes theoretical knowledge in the fields of local DNA structures, computational prediction methods of guanine quadruplexes and decision trees. The second part describes the creation of a decision tree model, followed by a statistical comparison of the results with the G4Hunter algorithm.
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Detection of Malicious Domain Names
Setinský, Jiří ; Perešíni, Martin (referee) ; Tisovčík, Peter (advisor)
The bachelor thesis deals with the detection of artificially generated domain names (DGA). The generated addresses serve as a means of communication between the attacker and the infected computer. By detection, we can detect and track infected computers on the network. The detection itself is preceded by the study of machine learning techniques, which will then be applied in the creation of the detector. To create the final classifier in the form of a decision tree, it was necessary to analyze the principle of DGA addresses. Based on their characteristics, the attributes were extracted, according to which the final classifier will be decided. After learning the classification model on the training set, the classifier was implemented in the target platform NEMEA as a detection module. After final optimizations and testing, we achieved a accuracy of the classifier of 99%, which is a very positive result. The NEMEA module is ready for real-world deployment to detect security incidents. In addition to the NEMEA module, another model was created to predict the accuracy of datasets with domain names. The model is trained based on the characteristics of the dataset and the accuracy of the DGA detector, whose behavior we want to predict.
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Business Intelligence - Use of Data Mining in Business Processes
Skalický, Tomáš ; Veselý, Martin (referee) ; Kříž, Jiří (advisor)
The aim of this bachelor thesis is to get acquainted with the concept of Business Intelligence as well as with the concept of data mining and its use in the company sphere. In the introductory theoretical part I will introduce the tools of Business Intelligence and data mining methods. In the following practical part I will use the methods for analysis of provided company data. The analysis obtained can be used as a support for company decision making.
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