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Míry podobnosti pro nominální data v hierarchickém shlukování
Šulc, Zdeněk ; Řezanková, Hana (advisor) ; Šimůnek, Milan (referee) ; Žambochová, Marta (referee)
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical clustering of objects and variables. To achieve this goal, four experiments dealing both with the object and variable clustering were performed. They examine the clustering quality of the examined similarity measures for nominal data in comparison with the commonly used similarity measures using a binary transformation, and moreover, with several alternative methods for nominal data clustering. The comparison and evaluation are performed on real and generated datasets. Outputs of these experiments lead to knowledge, which similarity measures can generally be used, which ones perform well in a particular situation, and which ones are not recommended to use for an object or variable clustering. The second aim is to propose a theory-based similarity measure, evaluate its properties, and compare it with the other examined similarity measures. Based on this aim, two novel similarity measures, Variable Entropy and Variable Mutability are proposed; especially, the former one performs very well in datasets with a lower number of variables. The third aim of this thesis is to provide a convenient software implementation based on the examined similarity measures for nominal data, which covers the whole clustering process from a computation of a proximity matrix to evaluation of resulting clusters. This goal was also achieved by creating the nomclust package for the software R, which covers this issue, and which is freely available.
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Motivation of Special Olympics athletes fot participating and leaving the Special Olympics Program in the Czech Republic
Příhodová, Radka ; Kaplan, Aleš (advisor) ; Vindušková, Jitka (referee)
Title: Motivation of Special Olympics athletes for participating and leaving the Special Olympics Program in the Czech Republic Student: Bc. Radka Příhodová Advisor: PhDr. Aleš Kaplan, PhD. Objectives: The main objective of this project is to explore motivation of Special Olympics athletes for participation in Special Olympics Program in the Czech Republic and the reasons why some of the athletes leave the program. A secondary objective is to learn more about Special Olympics coaches, athletes and their families, and to receive further details about coaches' and families perception ofthe Special Olympics Program. Methods: The thesis is divided up into two sections: theoretical and the results. The theoretical section introduces the subject of mental handicap, different views of the term, the classification of the handicap and its etiology. With regard to common occurrence of Down syndrome among the population of people with mental retardation one chapter presents this chromosomal disorder. The pro:file the Special Olympics Program in the world and in the Czech Republic its philosophy and structure form the next part of the theoretical section. Very important component of the theoretical section is the comparison adaptive sport within the frame of the Special Olympics movement and Paralympics...
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Architectural database refactoring
Nguyen Trung, Hoa ; Palovská, Helena (advisor) ; Krch, David (referee)
This bachelor thesis deals with database architectural refactorings. Its purpose is to describe each and every architectural refactoring method in detail on theoretical level with following author's own examples. These examples contain schema update mechanics and an outline of application code update. First of all, there will be an explanation of what refactoring stands for and what are the main differences between database refactoring and code refactoring. Following is detailed description of each and every architectural refactoring method with its principle, benefits and potential tradeoffs. The next part consists of author's own examples where update mechanics from theory are applied. Final chapter evaluates achievement of objectives, contribution of thesis and proposals on how can this thesis be extended.
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Financial analysis of a hotel
Slabejová, Lucia ; Petrů, Zdenka (advisor) ; Kondrashov, Alexey (referee)
This diploma thesis is a financial analysis of the company SHC Prague TRS, a.s. from 2005 to 2009, which manages Hotel InterContinental Praha. Firstly, the aim of this work is to evaluate the financial efficiency of the hotel through financial analysis, and secondly to indicate the possibility for development of financial management in the future. The financial analysis is based on external data from annual reports of the company. The thesis is devided into two chapters and completed with supplements. The first chapter is theoretical, where the principal meaning and functions of the financial analysis are characterized, source information and users of results are presented, and methodology of financial analysis is explained. The second chapter is practical, where basic information about the company is mentioned and a financial analysis is made applying the methods and procedures described in the first part. In conclusion, the results are summarized and there is a complete evaluation of the financial situation of SHC Prague TRS, a.s., that operates Hotel InterContinenatal Praha.
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Possibilities of Big Data use for Competitive Intelligence
Verníček, Marek ; Molnár, Zdeněk (advisor) ; Šperková, Lucie (referee)
The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.
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Valuation of the company Jihoměstská sociální a.s.
Hovorka, Luboš ; Smrčka, Luboš (advisor) ; Strouhal, Jiří (referee)
The goal of this master´s thesis is to perform an evaluation of the company Jihoměstská sociální a.s. on the date of evaluation of December 31st, 2015, for the purpose of a possible sale to a private company. The thesis consists of two parts: theoretical part and practical part. The theoretical part describes process and methods, which are applied in the practical part. The practical part contains an analysis of previous company´s results and forecast of the future by 2020. Next comes the valuation of Jihoměstská sociální. The conclusion discusses possibilities of sale.
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Výběr a implementace open source nástroje pro řízení portfolia projektů
Marek, Jan ; Chlapek, Dušan (advisor) ; Kučera, Jan (referee)
Methods and ways of implementation of changes and innovations in companies through project management are in today's society very well established. There exists methodologies, techniques and tools for the management of individual projects. However in a role of project manager, I very often faced the fact that companies are performing the project portfolio management in very intuitive way. This in itself leads to failed and prematurely terminated projects, initiation of the wrong projects or realisation of correct projects, but at the wrong time. Very often I have also recognized, that there is lack of awareness of fact, that there are also Open Source applications that can help with the organization's portfolio. This thesis deals with the definition of requirements, search and selection of proper OSS application and subsequent implementation. In the first part of this thesis I prepare a theoretical framework about PPM, and on that basis then identify and verify a set of requirements for selection of right OSS PPM application. The next section of thesis describes searching for suitable applications from a variety of sources, assessment against the requirements and the final selection. In the last part the implementation project is drafted, which aims to serve other colleagues in project management as one of the possible implementation paths. The outputs are then continuously confronted with experts in matter of projects and project management in the field of IT in order to maximize symbiosis between theory and real life experiences. Virtually every project management methodology defines the collection of already-proven techniques, best practices or lessons learned from the previous similar implementations. The main contribution of this thesis I see in fact that it contains not only the design of the project implementation, but also describes a logical path, what leads to the result. Therefore this thesis could be used as a base or discussed best practice, when a project of implementation of PPM application in place.
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Evaluation and analysis of the financial strategy of the company Linea Nivnice as
Juhászová, Bibiána ; Machek, Ondřej (advisor) ; Štamfestová, Petra (referee)
The aim of this thesis entitled "Evaluation and analysis of the financial strategy of the company Linea Nivnice as" is to analyze the financial situation of the company Linea Nivnice between 2009 and 2013. The work is divided into theoretical and practical part. The theoretical part describes the theoretical background, methods and procedures for analyzing financial strategy as horizontal and vertical analysis, balance rules, ratios, economic value added, creditworthy and bankruptcy models, PEST analysis, SWOT analysis, Porter's five forces model and comparison with the industry . The practical section provides the methods and procedures applied by the company Linea Nivnice Conclusion contains a summary of the most significant identified knowledge and assessing the financial position of the company.
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Psychometric characteristics of Youth Self-Report in clinical sample
Urbánek, Tomáš ; Čermák, Ivo ; Štěpánek, Petr ; Schmidtová, Jana
The paper deals with reliability and validity analyses of the Youth Self-Report questionnaire by Thomas M. Achenbach. It is a method comprising eleven subscales, mostly syndromes of pathological conduct of children and adolescents. The data were obtained from the psychiatric patients (girls) from 12 to 18 years, most of them were exposed to family violence and abuse. The analyses of internal consistency and correlation analyses supporting the empirical validity of scales were conducted.
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Methods of carbon dioxide emission reduction
Mališ, Jan ; Kermes, Vít (referee) ; Bébar, Ladislav (advisor)
Master's Thesis is focused on production of CO2 from fossil fuels combustion and the methods of CO2 emission from fossil fuels combustion reduction, resp. pre-combustion and post-combustion separation of CO2. Recapitulation of world consumption of primary energetic resources and carbon dioxide production as a result of theirs combustion in years 1971 - 2006 was made using a number of information sources. Whilst combustion o fossil fuel is related with production of CO2, calculation of emission rate of CO2 from fossil fuels (natural gas, crude oil and coal) was demonstrated. The Case Study of energy and material balances of gas turbine cycle with synthesis of methane from CO2 and from hydrogen which is produced in water splitting was made, using CHEMCAD software.
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