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Grid Layout Implementation in a CSS Rendering Engine
Novák, Ondřej ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
The goal of this thesis is to study the architecture of the CSSBox experimental rendering engine and propose a way to expand library with new options of grid layout content. The opening chapters contain an overview of problematics and subsequently a solution is proposed. The proposed architecture is implemented and tested. The conclusion is dedicated to evaluation of results and options futher development are outlined.
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Algorithm for Product Recommendation
Bodeček, Miroslav ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
The goal of this project is to explore the problem of product recommendations in the area of e-commerce and to evaluate known techniques, design product recommendation system for an existing e-commerce site, implement it and test it. This report introduces the problem, briefly examines current state of affairs in this area and defines requirements for a product recommendation module. The concept of data mining in general is introduced. The report proceeds to present detailed design corresponding to defined requirements and summarizes data gathered during testing phase. It concludes with evaluation and with discussion of the remaining goals for this thesis.
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Text Data Clustering
Leixner, Petr ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
Process of text data clustering can be used to analysis, navigation and structure large sets of texts or hypertext documents. The basic idea is to group the documents into a set of clusters on the basis of their similarity. The well-known methods of text clustering, however, do not really solve the specific problems of text clustering like high dimensionality of the input data, very large size of the databases and understandability of the cluster description. This work deals with mentioned problems and describes the modern method of text data clustering based on the use of frequent term sets, which tries to solve deficiencies of other clustering methods.
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Mining Multiple Level Association Rules
Nguyenová, Thanh Lam ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with multiple level association rules mining. The aim of this work is to focus on available algorithms for mining multiple level association rules and to implement an application with a graphical user interface that will demonstrate the functionality of these algorithms. Five algorithms based on the Apriori algorithm were chosen. Experiments with each algorithm were performed using the application and the results were compared and evaluated at the end of the thesis.
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Application for Statistical Analysis of ICS Communication
Chimenti, Andrea ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
This work aims to present the design and implementation of an application for statistical analysis of network traffic in ICS (Industrial Control Systems) communication. In the first place, the work presents Industrial Control Systems and some of their most common protocols. The protocol IEC 104 is described in more detail. This is followed by an introduction to the basic methods of descriptive statistics, that can be used to analyze industrial communication. For this purpose, several CSV datasets, that capture fragments of industrial communication, have been used. These datasets are used to show how some of the previously described statistical methods can be used. The work then describes the implementation of an application, which allows to analyze the datasets and obtain various statistics and a visual representation of the data. The main objective of the application is to make it easier for the user to find stable characteristics that can be used for anomaly and attack detection. Finally, the benefits that the application brings are demonstrated on a set of datasets containing different types of attacks.
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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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Tool for Execution of a Firm's Financial Healthiniss Analysis
Kubiš, Jan ; Bartík, Vladimír (referee) ; Květoňová, Šárka (advisor)
The topic of this thesis is financial analalysis of both, a company and an investment. It also contains description of software for its execution, which was implemented within the thesis. The first part describes financial analysis in general -- definitions, motivation, input data set definition, enumeration of common methods and indicators, their meaning and iterpretation of their values. The second part contains description of design, implementation and functionality of a tool, which purpose is automatization of chosen domains from financial analysis.
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