This diploma thesis deals with the impacts of financial and economic crisis on thirty-eight NUTS 2 regions of Germany. This includes identifying trends in regional convergence/divergence for the reference period 2004-2013 and determining the probable cause of observed disparities. For this purpose, cluster analysis and beta-convergence analysis are applied and conducted for the periods before and at the start of the financial crisis and during the outbreak of the economic crisis and after its overcoming. The impacts of the crisis on economic development of each region are also investigated by using important macroeconomic indicators.

Skoupá, M. Evaluating supply of tourism destination in the context of dimensions of quality. Diploma thesis. Brno: Mendel University, 2017. The aim of this thesis is identification of importance to factors of destination quaility in the context of dimensions of quality. The part of this thesis is primary research, which helps to get informations about importance of factors. The most important factor of quality is safety in the destination. For creating dimensions of quality are used cluster analysis and factor analysis.

SKYVOVÁ, BARBORA. Consequences of Economic Crisis on autonomous communities and cities in Spain. Diploma thesis. Brno: Mendel University, 2017. The diploma thesis focuses on impacts of the economic crisis (2008-2009) on seventeen autonomous communities and two autonomous cities of Spain. beta-convergence analysis and cluster analysis are applied to identify convergence or divergence process among Spanish regions within periods 2000-2007 and 2008-2015. Differences among regions are found out and economic situation is defined by macroeconomic indicators.

The thesis deals with morbidity in terms of socio-demographic and economic factors and mortality structure at the district level in the Czech Republic in 2007–2017. Using the composite indicator, cluster analysis and factor analysis, we investigated regional disparities of selected indicators. The results show that the area of morbidity and mortality of the population in the districts of the Czech Republic is regionally differentiated. Big impact plays the socio-economic situation (unemployment, the share of university graduates, housing payments), infant mortality or the old age dependency ratio. In general, the least favorable situation in the area of morbidity was in districts with negative socio-economic development.

The diploma thesis deals with the demographic and economic situation in the countries of the Association of Southeast Asian Nations. The subject of the thesis is to evaluate the current situation according to demographic dynamics in the period 1990-2018. Demographic change in these countries is affected by previously accepted anti-natal or pro-natal policies. The aim of this thesis is to define conclusions and suggestions for impovement of development cooperation and support of certain countries. In thesis are created time series with selected demographic and economic indicators with prediction for the next 5 years by extrapolation of time series. The thesis uses the convergence method, which can be used to determine whether the countries are approaching or distancing over time. Convergence is calculated to gross domestic product per capita. At the end of the thesis, the main components of selected demographic and economic indicators are analyzed, followed by cluster analysis for 1991 and 2017 and their comparison.

The thesis is focused on an analysis of the recruitment process at the present time and the possibilities of usage of the machine learning in it. On this analysis is based a solution how to make the search process for suitable candidates in recruitment more effective by machine learning, specifically with the K-Means algorithm and the SOM neural network.

Miková V. Systematic review: Bullwhip effect. Diploma thesis. Brno: Mendel University, 2019. The diploma thesis is focused on the Bullwhip effect, also known as Forrester effect. The aim of this thesis is to provide a systematic review of the studies dealing with this effect in supply chain management. Part of this is the creation of a meta-analysis to identify and quantify the prevailing conclusions of selected studies and creation of a cluster analysis. Consequently, it is shown that authors identify four major causes of the effect, use moving average, minimum mean square error and exponential smoothing as methods for forecasting. Furthermore, in most cases they insufficiently describe examined sample. Information sharing, using information and communication technologies or number of echelons in supply chain are taken as major tools to reduce effect that help to optimize the supply chain.

This work focuses on the design of a system that identifies frequently discussed product features in product reviews, summarizes them, and displays them to the user in terms of sentiment. The work deals with the issue of natural language processing, with a specific focus on Czech languague. The reader will be introduced the methods of preprocessing the text and their impact on the quality of the analysis results. The identification of the mainly discussed products features is carried out by cluster analysis using the K-Means algorithm, where we assume that sufficiently internally homogeneous clusters will represent the individual features of the products. A new area that will be explored in this work is the representation of documents using the Word embeddings technique, and its potential of using vector space as input for machine learning algorithms.

The aim of the thesis is to analyze the trade cooperation between the Czech Republic and ASEAN countries. The thesis examines the scope and content of trade between selected countries, the cooperation between countries is increasing due to the liberalization of trade and bilateral relations. The theoretical part defines main concepts that are associated with international trade, trade policy, trade and bilateral relations between the countries. The analytical part is dedicated to correlation, cluster analysis, a composite indicator and convergence. Finally, the obtained results are discussed and several recommendations for trade cooperation are suggested.

This thesis deals with the identification of factors influencing the level of economic performance of the countries. A theoretical platform presents the total population, the technological level and the economic freedom as possible factors of influence. Groups of countries, which have the similar character of the level of economic performance, are sorted out by cluster analysis. To describe the common factors influencing the level of economic performance among every created group of countries the panel data models are used. The results prove the influence of total population, technological level and economic freedom in the most developed, moderately developed and in developing countries around the world. Each of these indicators shows the positive effect on the level of economic performance, thereby creating an opportunity for the improvements.