National Repository of Grey Literature 94 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Analysis of Mobile Devices Network Communication Data
Abraham, Lukáš ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
At the beginning, the work describes DNS and SSL/TLS protocols, it mainly deals with communication between devices using these protocols. Then we'll talk about data preprocessing and data cleaning. Furthermore, the thesis deals with basic data mining techniques such as data classification, association rules, information retrieval, regression analysis and cluster analysis. The next chapter we can read something about how to identify mobile devices on the network. We will evaluate data sets that contain collected data from communication between the above mentioned protocols, which will be used in the practical part. After that, we finally get to the design of a system for analyzing network communication data. We will describe the libraries, which we used and the entire system implementation. We will perform a large number of experiments, which we will finally evaluate.
Evaluation of Betting Odds of Premier League's Matches
Zejda, Tomáš ; Burgetová, Ivana (referee) ; Hynek, Jiří (advisor)
Betting on sports is currently a trending phenomenon and this thesis is focusing on evaluating key factors for betting on the Premier League football matches. The aim of this thesis is to provide a better with an answer to whether it is a good idea to make a bet on a certain match considering current odds and risk factors or not. In this thesis we analysed certain amount of data on which the match results shall be depending on. We collected the data from previous seasons of this League as well as from other football competitions the Premier League teams take part in.
Intelligent Manager of Fantasy Premier League Game
Vasilišin, Maroš ; Burgetová, Ivana (referee) ; Hynek, Jiří (advisor)
Hra Fantasy Premier League poskytuje miliónom hráčov po celom svete možnosť stať sa na chvíľu manažérom svojho vlastného klubu. Výsledky a bodové ohodnotenie v hre závisia na správnom predvídaní, ako sa budú hráči chovať v skutočných futbalových zápasoch. Ak by pri tomto rozhodovaní pomáhal software na predikciu a analýzu budúcich výkonov hráčov, výsledky v hre sa môžu rapídne zlepšiť. Táto diplomová práca sa zaoberá návrhom a implementáciou predikčného modelu, ktorý využíva neurónové siete na predikcie časových radov počas celej sezóny v hre. Boli použité metódy na spracovanie dát o hráčoch a kluboch za posledné 4 sezóny. Výkonnosť a presnosť predikčných metód boli testované na dátach z poslednej sezóny Premier League a predikcie algoritmu sa vo väčšine prípadov blížili realite. Ak by sa užívateľ držal predikčného modelu v hre stopercentne, získal by väčší počet bodov ako bežný hráč, ktorý žiadny predikčný model nepoužíva.
Protein Classification Techniques
Dekrét, Lukáš ; Zendulka, Jaroslav (referee) ; Burgetová, Ivana (advisor)
Main goal of classifying proteins into families is to understand structural, functional and evolutionary relationships between individual proteins, which are not easily deducible from available data. Since the structure and function of proteins are closely related, determination of function is mainly based on structural properties, that can be obtained relatively easily with current resources. Protein classification is also used in development of special medicines, in the diagnosis of clinical diseases or in personalized healthcare, which means a lot of investment in it. I created a new hierarchical tool for protein classification that achieves better results than some existing solutions. The implementation of the tool was preceded by acquaintance with the properties of proteins, examination of existing classification approaches, creation of an extensive data set, realizing experiments and selection of the final classifiers of the hierarchical tool.
Effective Dynamic Programming in Bioinformatics
Franěk, Jaromír ; Hynek, Jiří (referee) ; Burgetová, Ivana (advisor)
Purpose of this thesis is to study principle of effective algorithms, that are using dynamic programming. Using this knowledge to create application demonstrating principle of effective algorithm of dynamic programming in bioinformatics and write a report summarizing results. Algorithms used in this thesis are solving DNA sequence alignment or RNA secondary structure prediction. These algorithms are compared between themselves based on different input values. For DNA sequence alignment are used algorithms such as Needleman-Wunch and X-drop. For prediction of secondary RNA structure is used Zuker algorithm, that should remove some of Nussin algorithm weaknesses and Nussin algorithm itself. Recursion is showed by recursion trees. Dynamic programming is showed by score matrix. User also have ability to compare speed of both approaches for given sequences. It is programmed as web application, that run on client's side. This ensure easy availability.
Knowledge Discovery from Databases with Use of the R Language
Krutý, Peter ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
This thesis is focused on the field of knowledge discovery from databases. Main objective is to research possibilities of R language and its support in this area. Support is researched by experiments using appropriate data sets. More detailed attention is given to the methods of classification, clustering and association rules learning. The output of the thesis is comparison of methods application in R and defining the suitability of using language for knowledge discovery from databases.
Suffix Trees Capabilities
Chlubna, Pavel ; Hynek, Jiří (referee) ; Burgetová, Ivana (advisor)
This thesis discusses structure of suffix trees, their implementation and problematics, we can solved with suffix trees. The thesis also focuses on construction of suffix trees, with usage of Ukkonen's algorithm. Apart of implementation of this structure this thesis deals with comparing other commonly used algorithms with suffix trees in term of time complexity. A result of this thesis is application with graphical interface, that shows usage of suffix trees in solving various problematics and shows comparison of this structure to other algorithms.
DNS Data Analysis for Mobile Device Identification Purposes
Sporni, Alex ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
This bachelor's thesis deals with the problem of identification of mobile devices based on DNS data analysis. The thesis provides a theoretical introduction to the computer communication model. This thesis explains the importance of DNS in the terms of network communication between devices, It also presents the provided data sets, which contain real communication of mobile devices. These data sets must be with a suitable technique parsed and stored in a database to provide better data manipulation techniques in the later stages of implementation. This work further describes individual techniques of data processing. It also depicts in detail the methodologies for evaluating the relevance of TF-IDF and the application of cosine similarity to identify the mobile devices. The main output of this work is the evaluation of the achieved results.
Network Communication Analysis for Mobile Application Profiling
Meluš, Matej ; Matoušek, Petr (referee) ; Burgetová, Ivana (advisor)
Goal of this thesis was to create profiles of mobile applications based on their network communication, which is stored in created data sets. For this purpose, a tool that can extract profiles from data sets was created. Profiles contain JA3 fingerprints, IP addresses and hostnames, that are associated with specific application based on number of occurrences in data sets. Unmodified profiles describe importance of individual identifiers used by application in network communication. Modified profiles can be used to identify application in network traffic.
High Layers and Interface for Graph Library
Studený, Tomáš ; Burgetová, Ivana (referee) ; Marušinec, Jaromír (advisor)
This work deals with problems of easy web graph generate. Project implement user-friendly interface for Object-Oriented Graph creating library pChart.

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