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Time-Serie Mining Module of a Data Mining System
Klement, Ondřej ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
The subject of this master's thesis is extension of existing data mining system. System will be extended by the module for the time series data mining. This thesis consists of common introduction to data mining issues and continues with time series analysis. Thesis then also contains some of the current tasks and algorithms used in time series data mining, follows by the concept of the implementation and description of the choosen mining method. Possible future system's improvments are disscused at the end of the paper.
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Selekce potravy bobrem evropským (Castor fiber) ve čtyřech ročních obdobích
Macháčková, Kateřina
This thesis deals with the evaluation of Eurasian beaver foraging in cultural landscapes. The theoretical part is devoted to the existing knowledge concerning the selection of food by beavers and the factors influencing it. In the practical part, a total of nine stomachs of hunted or dead beaver individuals from different seasons are evaluated by means of the volumetric method. The results indicate that the ratios of the major constituents change during the seasons. As expected, the woody component is represented in the winter months, while its composition varies during the growing season. In summer, among other things, the representation of field crops is interesting. In spring and autumn there are transitions between woody and green biomass.
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Long-term tendencies of spatiotemporal differentiation of unemployment in Czechia with emphasis on seasonality
Havej, Petr ; Netrdová, Pavlína (advisor) ; Hasman, Jiří (referee)
This master thesis belongs thematically to the research of long-term trends of spatio-temporal differentiation in the Czech Republic. Within this theme, it focuses on several objectives. The first of them concerns the search for appropriate scale levels and region types for time-space analyzes of unemployment in the Czech Republic and the definition of as many homogeneous regions as possible in terms of the unemployment rate. Subsequently, the work at the appropriate level defined in this way focuses on the next goal, which is to reveal and describe the development of seasonality in unemployment in the Czech Republic. As part of this goal, the effort is to determine the significance of the phenomenon of seasonality in unemployment, its development in space and time, and to define groups of regions that are more or less affected by this phenomenon. One of the partial goals is also to reveal the development of spatial differentiation in unemployment in the last few years. The work uses detailed monthly data on the unemployment rate in the Czech Republic at the municipal level for the years 2002-2021 published by the Ministry of the Interior. The methods used in this work are entirely quantitative in nature, they come from the group of (time) spatial analyses, which include, for example, LISA, as well...
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The impact of the Covid-19 pandemic and other factors on road traffic safety in the Czech Republic
Schusterová, Josefína ; Chytilová, Julie (advisor) ; Zeynalova, Olesia (referee)
This thesis focuses primarily on determining the potential effect of Covid-19 on road traffic safety in the Czech Republic, measured by the daily volume of traffic collisions. The additional incorporation of weather and seasonal fac- tors contributes to the complexity and uniqueness of this work. Although it is possible to Ąnd relevant foreign literature on the relationship between the pandemic and traffic accidents, this phenomenon has not been widely studied in the Czech Republic. The hypotheses were tested by applying the Ordinary Least Squares es- timation on time series data. The frequency of traffic accidents signiĄcantly decreased with the presence of Covid-19 disease, especially during the state lockdown periods. A similar pattern was observed by the remaining analysed categories of collisions, except for those with alcohol and drugs detected by the offender, which were positively inĆuenced by the pandemic. The wind is the only statistically insigniĄcant weather variable in our analysis, and the state holidays all turn out to signiĄcantly affect the number of traffic accidents. Over- all, the thesis contributes to the revelation of traffic trends during the Covid-19 disease and helps to predict the traffic safety situation in a possible future state of emergency of a similar kind.
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The Divorce Rate in the Pandemic Year of 2020 in Czechia
Fidranský, Tomáš ; Slabá, Jitka (advisor) ; Kalibová, Květa (referee)
The Divorce rate in the pandemic year of 2020 in Czechia Abstract: The year 2020 was unprecedented in terms of changes in the functioning of both individuals and institutions. This thesis aims to evaluate the impact of anti-epidemic measures implemented to reduce the spread of the Covid-19 pandemic on the divorce rate. It mainly focuses on changes in intensity and structure of divorce rate during the periods of the state of emergency when courts could have been limited in their ability to function properly. Analysis of data from the Czech Statistical Office pointed to a decrease in the total divorce rate in the spring of 2020, at a time of the first pandemic wave. A similar and temporary drop in the divorce rate was already observed in Czechia at the end of the 1990s. The cause behind that decrease was a change in legislature, which made it more difficult for marriages with underage children to get a divorce. Therefore, the decrease in divorce rate intensity occurred only in the group of marriages with underage children. Compared to that, the decrease in 2020 happened almost identically between marriages with underage children present and marriages without underage children present. This divorce rate drop, seen in the spring of 2020, was not sufficiently compensated by the increased divorce rate in the...
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Seasonal profile of nuptiality, natality and mortality in the Czech republic and international comparison
Jiroušová, Martina ; Rychtaříková, Jitka (advisor) ; Bartoňová, Dagmar (referee)
Seasonal profile of nuptiality, natality and mortality in the Czech republic and international comparison Abstract The aim of this thesis is to capture changes in seasonality of nuptiality, natality and mortality in the Czech Republic and the factors that influence the seasonality. Despite the fact that these changes have been monitored since the 16th (nuptiality) and the 17th century (natality and mortality), the thesis focuses on the period from 1950s to 2012. Czech Republic is then compared with six other countries, with shorter reference period (2005-2012). Seasonal profile is represented by seasonal indexes and their variability is analyzed using the coefficient of variation. Seasonality of marriages was, especially in the 1950s, characterized by the accumulation of marriages in the last months of the year and in April, with later shift to the summer. The minimum was at the beginning of the period in the first quarter of the year and in May and later joined them low values in November and December. Due to superstitions about unhappy marriages, May was a month with a very low seasonal index throughout the period. The highest values of seasonal indexes of live births used to occur in the first half of the year and then shifted, as in the case of weddings, to the summer months. The minimum values did not...
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Senior tourism
Slavík, Lukáš ; Vágner, Jiří (advisor) ; Klufová, Renata (referee)
This diploma thesis analyzes the senior tourism, its development, status, structure and perceptions of accommodation facility owners. We used leisure development and the evolution of older people (55 years and 65 years) for the theoretical framing theory. We also used development funds and the theory of subjective and real age for better explaining the actual trends. The methodology of thesis was based on a survey, informal interviews and email survey. A questionnaire survey was conducted on two levels. The first aims directly at senior citizens (240 respondents) and the second at the owners of accommodation facilities. An important source of information was informal conversation among the elderly. These interviews helped to clarify and to explain phenomena that were discovered in surveys. Another source of information was planned as a telephone poll of travel agents. However, for fear of misuse of data and retaining its "know-how" there were no results and this method of information obtaining was avoided. A very important source of information were reviews of Czech and foreign literature. Finally, I used and Internet sources. The objectives of work include efforts to determine how the senior tourism is structured, whether it helps to balance the marginal tourist season. An additional goal was to try to...
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Holt-Winters method for exponential smoothing
Koritarová, Lenka ; Cipra, Tomáš (advisor) ; Prášková, Zuzana (referee)
"his thesis de-ls with the methods of exponenti-l smoothingF et (rst the prin iE ples of exponenti-l smoothing -re expl-inedF e fo us on -si -ppro- hesX sinE gleD dou le smoothing -nd the rolt¡s methodF "hese pro edures -re suit- le for the modeling time series without se-son-l omponentF rowever in pr- ti e there -re frequent time series with se-son-lityF por su h time series the roltE inter¡s method is usedF "his method is -sed just on the prin iples of exponenti-l smooE thingF sn the l-st p-rt of this thesisD there is demonstr-ted using this methods on re-l d-t-F
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Methods of analysis of seasonality in demography
Myšáková, Gabriela ; Hulíková Tesárková, Klára (advisor) ; Rychtaříková, Jitka (referee)
Methods of analysis of seasonality in demografy Gabriela Myšáková Abstract The thesis presents statistical methods suited for analysis of seasonality in time-series. Three statistical methods have been thoroughly described, namely the time-series decomposition, the X12−ARIMA method and the cointegration of time-series. Further methods applicable for similar analysis have been briefly discussed as well. Three main methods have been subsequently applied to monthly demographic data for the Czech Republic and chosen European countries by natality, nuptiality and mortality. Seasonality has been discovered in all three demographic events and by using the time-series decomposition and the X12−ARIMA method for time-series lay out to separate units, and those progressions have been track by graphic and verbal interpretation. Cluster analysis has been applied to European countries nuptiality and mortality time-series in order to reveal similarities and dissimilarities among particular countries. All the methods were used onto data set by using appropriate procedures in statistical software SAS.
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