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Web for Displaying Archive Materials
Šesták, Pavel ; Veigend, Petr (referee) ; Rozman, Jaroslav (advisor)
The aim of the thesis is to unify the data of the individual archives into one system, within which the user will be able to search and view the data. In particular, it is about scanned archival materials and their metadata. The thesis describes the different types of archival data and analyses the current systems. The thesis compares four scraping systems on the basis of dataset size, missing values and consistency between datasets. The archival imaging system is then modeled using behavioral and structural UML diagrams. The work also includes a graphical design produced in Figma. The thesis also includes a description of the implementation, testing and deployment procedure using Docker on the school infrastructure.
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Tool for User-Defined Publication Output from Input Text Data
Novák, Michal ; Bidlo, Michal (referee) ; Strnadel, Josef (advisor)
This bachelor's thesis focuses on the design and implementation of a tool intended for creating publication outputs from input text data. The aim of this thesis is to design and implement a universal and modular program that can transform raw (serialized) data supplemented with user configuration into visual representation that can then be used in publications. Thesis explores sources of information, their types, and usage. Additionally, common formats for serialized and visualized data are analysed and a research of methods and approaches to data visualization is conducted. The individual components and approaches to tool design are explained, followed by a description of implementation. At the end, the tool is tested by users. Results of these tests are then used for evaluation of the quality of implementation.
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Data Analysis of Admissions
Josífek, Jan ; Luhan, Jan (referee) ; Kříž, Jiří (advisor)
This thesis deals with data analysis of admissions and report creation. The thesis is divided into three parts. The first part is the theoretical background that serves as a basis for the remaining parts. The second part analyses current state, where are defined questions for data analysis and ETL phase is performer. In the third part, custom report solutions are developed to answer the set questions.
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Data Mining with Python
Krestianková, Tamara ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This thesis deals with principles of data mining process, available Python packages for data mining and a demonstration of Python script capable of data analyisis focused on classification techniques. Created classifiers are able to classify subjects into two groups - healthy people and people suffering from Parkinson's disease - based on their biomedical vocal analysis data.
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Analysis of Firm’s Digital Marketing Communication Channels and Improvement Proposals
Peša, Jakub ; MBA, Jaroslav Palla, (referee) ; Chlebovský, Vít (advisor)
Diplomová práce se zabývá marketingovými komunikačními kanály vybrané společnosti, s digitálním zaměřením. Práce je zkomponována na principu datové analýzy a návrhu zlepšení pro firmu, se záměrem implementace. Rozsah práce zahrnuje teoretická východiska, výzkum prostředí společnosti a anlýzu e-marketingových dat, sbíraných firmou. Na základě těchto částí je založen návrh vylepšení, včetně odhadu nákladů a návrhu monitorování. Výstup práce je ve formě zlepšení efektivity marketingové komunikace firmy.
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Data Mining Case Study in Python
Stoika, Anastasiia ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This thesis focuses on basic concepts and techniques of the process known as knowledge discovery from data. The goal is to demonstrate available resources in Python, which enable to perform the steps of this process. The thesis addresses several methods and techniques focused on detection of unusual observations, based on clustering and classification. It discusses data mining task for data with the limited amount of inspection resources. This inspection activity should be used to detect unusual transactions of sales of some company that may indicate fraud attempts by some of its salespeople.
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Exploratory Analysis of Big Data in "jmenomesto"
Trampeška, Václav ; Plchot, Oldřich (referee) ; Landini, Federico Nicolás (advisor)
Tato práce se zabývá analýzou databáze online hry Jméno, město. V této hře mají hráči za úkol adekvátně odpovídat na zadané kategorie odpovědmi začínající na zadané písmeno. Práce analyzuje evoluci chování hráčů během existence hry a chování hráčů v různých zemích a kulturách v rámci stejného i jiného jazyka na základě popularity různých odpovědí. Pro zjednodušení vykonávání těchto analýz byla vyvinuta webová aplikace umožňující snadnou kolekci a vizualizaci dat v grafech bez nutnosti znalosti databázové struktury a dotazovacího jazyka. Výsledky navržených analyzačních metod jsou porovnávány s daty služby Google Trends za účelem zjištění podobností mezi daty sledovanými ve hře a internetovým vyhledáváním. Z toho porovnání vyplývá, že navržené metody mohou dávat smysluplné výsledky a databáze tedy může být vhodnou pro vykonávání dalších konkrétně zaměřených analýz. Práce dále, i na základě výsledků analýz, navrhuje změny pro zlepšení hry v rámci hráčského prožitku a výdělečnosti.
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System For Analysis of Biathlon Statistics
Zeman, Ondřej ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
The goal of this bachelor's thesis is to create a web application that downloads biathlon data and statistics and use the technique to get knowledge from data to get interesting and unusual information. In this work are solving descriptive and predictive mining tasks. Clustering algorithms have been used for descriptive mining tasks and for search patterns in course and shooting statistics. Prediction of race results is solved by using multiple linear regression. The application is implemented in Python. Web application is available at https://analysisofbiathlonstatistics.herokuapp.com.
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ALVAO Service Desk Data Analysis and Reporting
Václavík, Marek ; Novák, Lukáš (referee) ; Kříž, Jiří (advisor)
The diploma thesis focuses on the analysis of the current state of reporting and data analysis of the ALVAO Service Desk system in the company's internal operation. Based on the findings of deficiencies, a new method of reporting and data analysis on the Microsoft Power BI platform is proposed. The proposal includes the entire Power BI feature cycle from data accessing to sharing.
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Smart metering data analytics
Ševčík, Prokop ; Klusáček, Jan (referee) ; Drápela, Jiří (advisor)
The thesis focuses on using data from smart meters based on two-way communication in distribution system. It describes hardware structure of smart meter and measurements of electrical quantities. The thesis summarizes multiple smart metering use cases in DS. It reviews actual implementation of use cases in DS and it evaluates data available from smart meters. Data analytics tools for DS analysis are presented based on possible use cases
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