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Knowledge Discovery from Time Series
Krutý, Peter ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This thesis is focused on the field of knowledge discovery from data, specifically from time series. Main objective is to research Python programming language support in this area and then design and implement an application that will allow to demonstrate and compare selected methods. Methods are demonstrated in experiments using appropriate data set. The output of the thesis is a comparison of methods for specific tasks and the application implementing selected methods.
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Information System of Czech Discgolf Association
Kudrna, Jakub ; Kreslíková, Jitka (referee) ; Bartík, Vladimír (advisor)
The main objective of my thesis is to create web information system used by the Czech Discgolf Association, it’s community and discgolf players. Users can register themselves to the system and then add or edit discgolf courses, hole layouts, make new tournaments and submit scores to them. They can also manage clubs, see league results or add news to blog. There is also mobile web application used for submitting live scores of the tournaments. A specific group of users can have extended rights to editing courses, tournaments or leagues. The information system is implemented in ASP.NET with the use of Microsoft SQL database.
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New Layout Methods in a CSS Rendering Engine
Novák, Ondřej ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
The goal of this thesis is to explore the CSSBox experimental rendering engine, to study new ways of layout the content of web pages, which are Grid layout and Flexbox layout, using CSS language and to design appropriate modifications for their integration into CSSBox library. At first, the CSS language is described, including detailed descriptions of the new layouts, followed by a proposal for the solution itself. The thesis also deals with a detailed description of the implementation part, which is then tested on a test set. The conclusion of the thesis evaluates the results, including the reported shortcomings and other possibilities for development.
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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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