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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Bankruptcy prediction modelling in construction business
 Burdych, Filip ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
This master thesis deals with bankruptcy prediction models for construction companies doing business in Czech Republic. Terms important for understanding the issue are defined in the theoretical part. In analytical part, there are five current bankruptcy prediction models tested on the analysed sample and resulted accuracy compared with original ones. On the basis of knowledges acquired, there is developed a brand-new bankruptcy prediction model.
Detailed record
Data Sets for Network Security
 Setinský, Jiří ; Hranický, Radek (referee) ; Tisovčík, Peter (advisor)
In network security, machine learning techniques are used to effectively detect anomalies and malware in network traffic. A quality dataset is needed to train a network classifier with high accuracy. The aim of this paper is to modify the dataset using machine learning techniques to improve the quality of the dataset which will lead to training the model with a higher accuracy. The dataset is analyzed by a clustering algorithm and each cluster is characterized by a statistical description resulting from the attributes of the input dataset. The statistical description along with the information of the original classifier is used to compute the score. The score serves as a weight in the modification phase. Cluster analysis allows to filter out the data that are important for training the final model. The proposed approach allows us to mitigate the redundancy of the dataset or to augment it with missing data. The result is a modification framework that is able to reduce the datasets or perform their aggregation in order to create a compact dataset that reflects the actual network traffic. Models were trained on the created datasets and achieved higher accuracy compared to the existing solution.
Detailed record
Bankruptcy prediction modelling in construction business
 Burdych, Filip ; Kuběnka,, Michal (referee) ; Karas, Michal (advisor)
This master thesis deals with bankruptcy prediction models for construction companies doing business in Czech Republic. Terms important for understanding the issue are defined in the theoretical part. In analytical part, there are five current bankruptcy prediction models tested on the analysed sample and resulted accuracy compared with original ones. On the basis of knowledges acquired, there is developed a brand-new bankruptcy prediction model.
Detailed record

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