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Prediction of Values on a Time Line
Maršová, Eliška ; Bařina, David (referee) ; Zemčík, Pavel (advisor)
This work deals with the prediction of numerical series whose application is suitable for prediction of stock prices. They explain the procedures for analysis and works with price charts. Also explains the methods of machine learning. Knowledge is used to build a program that finds patterns in numerical series for estimation.
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The print on textile
JÍLKOVÁ, Lucie
The thesis is focused on print on textile. Theoretical part of the thesis describes natural and synthetic textile fibres, construction of textile fabrics, their history and ways of use. Next part is devoted to the art of printing, specifically hand printing methods. There is one chapter describing how to use the hand print in teaching at elementary schools of art. This is followed by the practical part of thesis. The practical part describes different procedures of hand printing on the different textile fabrics. There are presented final scarves with own patterns. Results of this thesis are described in the last chapter.
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Fractals Strategies on FOREX Market
Raab, Filip ; Prochocká, Kristína (referee) ; Budík, Jan (advisor)
This diploma thesis is focused on teoretical and practial aspects in the creation of trading strategie on FOREX market. The thesis include indicator and strategy that are build for tradning with EUR/USD currency. The designed strategy is developed in MetaTrader enviroment in MetaQuotes programming language. Indicator is optimalized on historical dates and choose settings for indicator to profit.
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Derivational Analysis in Czech
Černý, Stanislav ; Schmidt, Marek (referee) ; Smrž, Pavel (advisor)
In the theoretical part of the thesis, we will describe word-formation in Czech from the traditional point of view. Then we will dwell on automation of word formation based on derivational rules, which we will generate from a~given dictionary. The quality of new-found words will be evaluated using four different estimations. Finally, we will review achieved results.
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The use of statistical methods in data mining in predicting consumer behaviour for Internet purchases
Podzimková, Michaela ; Vilikus, Ondřej (advisor) ; Berka, Petr (referee)
Data mining is a new discipline that occurs with increasing amount of stored data and the increasing need to obtain the information hidden in them. It is focused on the mining of potentially useful information from large data sets and it lies at the intersection of statistics, machine learning, artificial intelligence, databases and other areas. The aim of this thesis is to present the process of data mining with an emphasis on its connection with statistics and to describe a selection of statistical methods widely used in this field and which were also used in the applied data mining problem in this thesis. Real data from purchases in the online store show that using different methods gives different results and interesting information about purchasing behavior, and also proves that not all methods are always applicable to all types of tasks.
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The value world of present youth
HAVELKOVÁ, Tereza
The aim of this work is to focus on using a questionnaire survey on the value orientation of youth and find out what values present youth prefers. The theoretical part of the work aims to explain individual key concepts. Closer to the views of different experts who have dealt with this topic. The practical part is focused on the evaluation of the collected data and description of the results. The questionnaire has task to find out what values the young people recognize, what considers in life of the most important and which pathologies of the community most condemns. Continue should reveal, if the young people have some views and in the case that they have, so what. The research will be also focus on the development of values with consideration of the age, the differences between boys and girls and disparity in values rising due to another place of residence and another social strata.
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