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Market segmentation using statistical methods
Bystřická, Michaela ; Marciánová, Pavla (referee) ; Schüller, David (advisor)
The thesis is focused on the segmentation of customers of selected summer swimming pool. The first part of the thesis is devoted to the theoretical concept of the chosen issue. In the analytical part, a summer swimming pool is presented and selected analyses are carried out. The analytical part also includes a questionnaire survey. In the last part of the thesis, measures are proposed that would lead to an increase in the level of services for the selected customer segment.
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Automatizované generování pravidel pro modifikaci hesel s využitím metod strojového učení
Šírová, Lucia ; Veselý, Vladimír (referee) ; Hranický, Radek (advisor)
The success of password cracking using a dictionary attack is limited by the scope and quality of the used dictionary. One way to enhance the success rate of password cracking is to expand the dictionary with password mangling rules. These rules typically reflect human tendencies in password creation, such as appending numbers at the end of the password or capitalizing the first letter. This bachelor’s thesis describes a tool’s design and implementation process that aims to generate these rules by analysis of existing passwords, for example, from datasets obtained during security breaches. This tool enhances existing solutions by providing a choice of four distinct clustering methods. Unlike other rule-generating tools that leverage machine learning, it broadens the generated rules to nineteen unique types. Additionally, the tool offers customizable configurations for rule types and their priorities. Testing results suggest that the tool discussed in this bachelor’s thesis performs comparably or even better than a previously known state-of-the-art solutions.
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Application of Mathematical and Statistical Methods in Company Management
Zezula, Lukáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This thesis discusses the analysis of logistics costs for a company operating a network of vending machines and the subsequent minimization of the established costs by changing the locations and number of supply depots. A function reflecting the dependence of transport, warehousing, and inventory holding costs on the number and locations of depots is derived. The coefficients of this objective function are identified based on data provided by the analyzed company. Optimization of the locations and number of supply depots is performed using the Nelder and Mead iterative algorithm in combination with agglomerative clustering. The proposed approach to optimizing the logistics network is described from a mathematical-statistical and implementation perspective. Special attention is paid to finding optimal routes between supply depots and vending machines using geographic software, which also allows for measuring the route length and the time required to cover the obtained distance. The thesis then presents six proposals for reorganizing the logistics network, reflecting the optimal distribution of supply depots at their different numbers. Various shapes of the inventory holding costs are also considered, and their impact on the optimal number and locations of supply depots is discussed.
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Comparing of Clustering Algorithms
Jakšík, Aleš ; Rozman, Jaroslav (referee) ; Zbořil, František (advisor)
This bachelor thesis deals with the comparison of K-means, K-medoids and Fuzzy C-means algorithms. In the first part, it discusses the types of distance measurements, clustering evaluation options and categorization of clustering methods. In the second part, it presents a web application for comparing the selected methods and in the third part it discusses the comparison and evaluation of the results and statistics from running the clustering algorithms in the demonstration application.
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Comparison of road tax regulations in the Czech Republic and neighboring countries
PRÁŠKOVÁ, Vendula
The work focuses on comparing the adjustment of road and similar taxes in the Czech Republic and neighbouring states respectively. It describes the road tax treatment in the Czech Republic, the reasons for its introduction and the development of this tax since 1992, through relevant tax laws and regulations. Furthermore, adjustments to similar taxes on Germany, Poland, Austria and Slovakia are described in detail here. In the next part of the thesis, the criteria for cluster analysis are discussed, namely the share of road tax in the tax mix, the share of road tax in GDP and the tax burden of road tax per capita, for lower risk, all these data are taken from EUROSTAT and OECD In US dollars (USD), data on the number of motor vehicles in the region is added to expand the issue. A clustered analysis was carried out on the basis of the values of these indicators for 2012, 2021 and 2022. The result of this analysis is three dendrograms, each representing one of the years studied. Dendrograms provide a visual representation of the cluster structure and allow for the interpretation of relationships.
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ECG Cluster Analysis
Pospíšil, David ; Kozumplík, Jiří (referee) ; Klimek, Martin (advisor)
This diploma thesis deals with the use of some methods of cluster analysis on the ECG signal in order to sort QRS complexes according to their morphology to normal and abnormal. It is used agglomerative hierarchical clustering and non-hierarchical method K – Means for which an application in Mathworks MATLAB programming equipment was developed. The first part deals with the theory of the ECG signal and cluster analysis, and then the second is the design, implementation and evaluation of the results of the usage of developed software on the ECG signal for the automatic division of QRS complexes into clusters.
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Analysis of AVG signals
Musil, Václav ; Sekora, Jiří (referee) ; Rozman, Jiří (advisor)
The presented thesis discusses the basic analysis methods of arteriovelocitograms. The core of this work rests in classification of signals and contribution to possibilities of noninvasive diagnostic methods for evaluation patients with peripheral ischemic occlusive arterial disease. The classification employs multivariate statistical methods and principles of neural networks. The data processing works with an angiographic verified set of arteriovelocitogram dates. The digital subtraction angiography classified them into 3 separable classes in dependence on degree of vascular stenosis. Classification AVG signals are represented in the program by the 6 parameters that are measured on 3 different places on each patient’s leg. Evaluation of disease appeared to be a comprehensive approach at signals acquired from whole patient’s leg. The sensitivity of clustering method compared with angiography is between 82.75 % and 90.90 %, specificity between 80.66 % and 88.88 %. Using neural networks sensitivity is in range of 79.06 % and 96.87 %, specificity is in range of 73.07 % and 91.30 %.
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Knowledge Discovery from Web Logs
Valaštín, Samuel ; Rychlý, Marek (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with the problem of knowledge discovery from web logs. The data source in the form of web access logs allows, after appropriate preprocessing, the use of a number of techniques that are designed to deal with knowledge discovery. By applying these techniques to preprocessed data, it is possible to classify user behavior into groups, to discover interesting associations in user behavior, or to discover previously unknown sequences in common user behavior.
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Analysis of Clustering Methods
Lipták, Šimon ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
The aim of this master's thesis was to get acquainted with cluster analysis, clustering methods and their theoretical properties. It was necessary select clustering algorithms whose properties will be analyzed, find and select data sets on which these algorithms will be triggered. Also, the goal was to design and implement an application that will evaluate and display clustering results in an appropriate manner. The last step was to analyze the results and compare them with theoretical assumptions.
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Analysis of AVG signal
Matušek, Adam ; Kozumplík, Jiří (referee) ; Rozman, Jiří (advisor)
Bachelor´s thesis deals with analysis of AVG signal (arteriovelocitogram). Measured data predicate about speed and caracteristic of blood flow in human arteria. Signal is taken by ultrasound mesure. We use reflection of mechanic wave from moving objets followed by a chase of frequence. This fenomen is called Doppler effect. When we know analysis results we can diagnostic the existence and phase of ischemic desease. The clasification of the dates was made by methods of cluster analysis. Statistic algorithm was realised in programing world MATLAB.
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