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Predictive Modelling with Python
Duda, Jan ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
The main goal of this bachelor thesis is get to know with the data mining and its domain, also with the Knowledge discovery in databases process. It shows the most importnant approaches, which are implemented in Python language afterwards. The case study contains the prediction of index S&P 500 describing stock market developments on the US stock exchange. Both classification and regression models are used for the forecasting. Model evaluation is reached by the Monte Carlo experimental method.
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Analysis of Network Security Alerts
Dobeš, Erik ; Žádník, Martin (referee) ; Wrona, Jan (advisor)
The goal of this work is to find groups of IP addresses in network security reports, which were detected in the same, or very similar, time interval. The work introduces an algorithm, which transforms data from security reports into time series. Between all the time series, similar pairs are searched. Subsequently, in the found pairs, we are looking for similar threesomes, in which we try to find similar foursomes, etc. The created solution successfully found 208 similar groups in the set of analyzed data, the largest of which contains 11 similar IP addresses. Based on the data found it is possible to detect machines that are part of the so-called botnet in network security reports.
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Anomaly Detection in Generated Incident Ticket Volumes
Šurina, Timotej ; Rychlý, Marek (referee) ; Trchalík, Roman (advisor)
Táto bakalárska práca sa zaoberá problematikou detekcie anomálií v časových radoch. Predstavuje metódy STL decomposition, ARIMA, Exponential Smoothing a LSTM Networks. Cieľom je pomocou týchto metód vytvoriť algoritmus, ktorý dokáže analyzovať trend v množstve generovaných záznamov o incidentoch a detekovať anomálie z trendu. Riešenie bolo vytvorené na základe dátovej sady poskytnutej firmou AT&T Global Network Services Czech Republic s.r.o. a implementované v programovacom jazyku Python.
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Analysis of Economic Indicators using Statistical Methods
Matoušek, Ondřej ; Linhart, Michal (referee) ; Michalíková, Eva (advisor)
This bachelor thesis focuses on the calculation and subsequent evaluation of economic indicators of the chosen company using financial analysis and statistical methods for predicting the future development of selected indicators. The thesis presents suggestions for improving the financial situation of the analyzed company. The output of the bachelor thesis is also the VBA computer program that allows automatically calculate the selected financial indicators based on the data from the financial statements.
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Analysis of economic data using statistical methods
Spasibionak, Karyna ; Doubravský, Karel (referee) ; Michalíková, Eva (advisor)
Bachelor thesis is focused on the evaluation of the financial situation of the company NOTINO s.r.o. using financial analysis, then using statistical methods with subsequent use of time series on selected economic indicators. The structure of the bachelor thesis contains the theoretical part, which is devoted to the explanation of the concepts of financial analysis and statistical methods. Then in the practical part of the work, calculations will be carried out according to the accounting statements of the business entity for a specific period. At the end of the thesis, the complex state and own proposals for improving the current financial situation of the company will be described.
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Software Application for Assessment of Selected Indicators.
Dúpalová, Kateřina ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This bachelor thesis deals with the design of a software application for the assessment of selected indicators and a proposal leading to the improvement of the current situation of the company. The theoretical part explains selected economic indicators and statistical methods. The practical part contains design of software application, analysis of selected economic indicators and proposes solutions for improving the current situation of the company.
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