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A comparison of the requirements for practical entrance exams for high school sports in the Czech Republic and their design optimization at the University of South Bohemia\\
VARHANÍK, Marek
The main goal of this thesis is the proposal of optimization of practical entrance exams, for study on Faculty of sport at University of South Bohemia. Another goal is the comparison of requirements for practical entrance exams at selected sport universities in Czech republic. By data analysis of entrance exams from past four years at University of South Bohemia author found out, which disciplines are overrated and on the contrary which are underrated, graphs of results frequency were generated by data analysis, descriptive statistics and histograms for each discipline; based on these results, procedure for optimization the scoring system was set. When determining the new recommended values in the tables of Faculty of sport at University of South Bohemia was used descriptive statistics and a histogram. For comparison, author used scoring tables from other universities, which have shown us how different their scoring system is against scoring system at University of South Bohemia.
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Analysis of breakfast cereals market in Czech retail
Klofát, Vít ; Vávra, Oldřich (advisor) ; Müllerová, Lucie (referee)
The main goal of this diploma thesis is to make a complex analysis of breakfast cereals market in the Czech Republic in retail. The goal is accomplished by using combination of retail audit data and primary data from own research in retail. Theoretical part provides information about retail market and helps with understanding of its significant area and research methods. Research part starts with evaluation of the situation on the Czech retail market. Then the analysis is focused on breakfast cereals market where it starts on the macro level with analysing main specifics of the market such as its evolution in last years, its seasonality, evaluating the main segments, competitors and private labels. Then the analysis is aimed at the most important attributes of the market.
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Advanced Data Analysis for Industrial Applications
Wagner, Zdeněk ; Kovanic, Pavel
One of the principal tasks of nowaday's industry is process intensification. The methodology for finding reliable results is highly demanded. While marketing is concentrated on analysis big data that are available in eShops as well as other internet media, the situation in the industry is different because solution must be found in real time based on limited amount of data. The algorithms of data analysis must therefore be fast and robust. In the last few decades statistical methods have advanced considerably but a new, nonstatistical approach to uncertainty, called mathematical gnostics, have also be developed. This new approach is based upon the fundamental laws of nature and robustness is its inherent property. The contribution will present several applications with the emphasis laid upon description of the main features of mathematical gnostics. Previous applications in energetics that can be enhanced by use of the modern algorithms of data analysis will also be mentioned.
Fulltext: content.csg -  PDF
Plný tet: SKMBT_C22015101209580 - PDF
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Design and implementation of Data Mining model with MS SQL Server technology
Peroutka, Lukáš ; Maryška, Miloš (advisor) ; Smutný, Zdeněk (referee)
This thesis focuses on design and implementation of a data mining solution with real-world data. The task is analysed, processed and its results evaluated. The mined data set contains study records of students from University of Economics, Prague (VŠE) over the course of past three years. First part of the thesis focuses on theory of data mining, definition of the term, history and development of this particular field. Current best practices and meth-odology are described, as well as methods for determining the quality of data and methods for data pre-processing ahead of the actual data mining task. The most common data mining techniques are introduced, including their basic concepts, advantages and disadvantages. The theoretical basis is then used to implement a concrete data mining solution with educational data. The source data set is described, analysed and some of the data are chosen as input for created models. The solution is based on MS SQL Server data mining platform and it's goal is to find, describe and analyse potential as-sociations and dependencies in data. Results of respective models are evaluated, including their potential added value. Also mentioned are possible extensions and suggestions for further development of the solution.
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Big Data, their storage and options of exploitation
Macek, Jáchym ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
The content of this bachelor's thesis is to analyze work with data especially with large-volume unstructured data, thus Big Data. The thesis is retrieval and contents informational survey based on questionnaires and interviews. The aim is to evaluate and approximate Big Data theme, their storage, tools for their management and opportunities of its exploitation to the reader from technological and business point of view. The objective for the practical part is a survey. The thesis is divided in to three parts. The first part defines the concept, gives closer look at the issue and is dedicated to open and linked data. The second part deals with the question of storage and opportunities of subsequent exploitation of stored data, tools and technologies for Big Data management. Further, there is evaluation of the advantages and disadvantages and comparison of the Hadoop technologies. In the third part the survey of Big Data issue is published. I use tools of questionnaires and interviews for acquiring information from students and experts. Furthermore, it describes current trends, problems and offers solution from the field.
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Analysis of the real data from the restaurant sector
Šimeček, Petr ; Rauch, Jan (advisor) ; Šimůnek, Milan (referee)
The aim of this thesis is to analyze the real data from the restaurant sector in the center of Prague, prove assumptions based on existing knowledge and explore hidden relations. The database management system MySQL was used for the initial transformation of the original data structure. The data after the transformation were converted into a form that it was possible to manipulate with it using the procedure LMDataSource of the system LISp-Miner. The analysis of association of relations were used for the procedure 4ft-Miner of the system LISp-Miner. The MySQL database system was used for the frequency analysis to obtain results, and Microsoft Word and Excel were used to interpret the results. Some of the assumptions in the research were found proven. Furthermore, an interesting combination of relations was discovered. The output of this work allows the owner of the data to use some of the data analysis results for the optimization of internal processes. In addition, this study points out other possible ways to analyze these data.
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Retail audit analysis of confectionery market in Czech Republic
Konečná, Eva ; Vávra, Oldřich (advisor) ; Navrkalová, Jana (referee)
The main goal of my master thesis is to conduct a complex analysis of the confectionery market in Czech Republic, as one of the most profitable and dynamic category. The methodology that is used to analyse the market is the retail audit analysis, that provides an independent insight into the problem and helps to analyse the market from various perspectives. The first part is focused on the total confectionery market with the goal to introduce the market with its specifics, then the analysis goes deeper into the chocolate confectionery market and is extended by consumer research, that provides a useful consumer insight. As a result, the thesis emphasizes the importance of retail audit data, while at the same time gaps of the analysis are shown by using the consumer research as a secondary methodology.
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The use of data mining technology in an interactive bargaining in retail
Waldmannová, Lenka ; Novotný, Ota (advisor) ; Jašek, Pavel (referee)
This thesis deals with the issue of data mining technology within interative bargaining in retail with closer focus on the implementation of data models and related rules, which support interactive haggling with the customer. The aim of the thesis is to prepare proposals for data models, calculations and rules that are involved in the haggling process with the customer. Prepared outputs are used in the demo application "Bargaining" and its application is showcased on the demonstrated examples. The work is divided into two main areas -- the theoretical definition of work and the analytical processing. The theory part includes available research work (resources), which will be used to characterise various thematic areas of the work - Customer Intelligence, Customer Lifetime Value, Data mining, Interactive marketing, negotiation techniques and Setting prices. Analytical processing is focused on the practical use of the acquired knowledge. It iis the calculation of selected values, their processing and application within the Bargaining process with the customer. In conclusion, all the results, reaching the goals and the recommendations for the development or modification of the solution, will be assessed. The anticipated benefit of the application is its use in the negotiation between the trader and the customer, without dropping the agreed sales price during realised business below the expenditure costs. It is about ensuring the interaction, where the customer is allowed to negotiate the price of goods but the trader ensures that the price will not result in a loss. The benefit of the solution is the support of the customer satisfaction with regards to the financial interests of the detail industry.
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Statistical analysis of the index of economic freedom
Sejk, Lukáš ; Vrabec, Michal (advisor) ; Blatná, Dagmar (referee)
The aim of this bachelor thesis is to statistically analyze the relationship between economic freedom index issued by Canadian Fraser Institute and the Index of Economic Freedom published by the Heritage Foundation in conjunction with The Wall Street Journal. Stated goal we try to achieve by means of statistical methods of data analysis. The first part shows the theoretical background of the both indexes of economic freedom and their input parameters. In the second part we try to statistically analyze the relationships between them and interpret their results. Also we look at the evolution of the economic freedom index for the Czech Republic and neighboring countries, Poland, Germany, Austria and Slovakia.This thesis would point on different results in the two indexes above, although both are trying to quantify the same socio-economic phenomenon. In conclusion, we show results, that we achieved and their possible interpretation.
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Geomarketing methods
Voráč, Michal ; Chrobok, Viktor (advisor) ; Černý, Michal (referee)
Aim of this application-oriented master's thesis is to prove a benefits from using data analysis techniques connected with geodata processing to support business decisions. As a conclusion two solutions are given which are more attractive then starting situation. Since the first solution proposed is oriented on giving maximum success ratio while considering transactions, the second one is oriented on business value of each transaction. In this thesis R programming language is widely used together with ArcGIS Online in its final part.
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