The diploma thesis deals with consumer behavior on the market with alcoholic beverages in the Czech Republic and the USA. It provides knowledge of the market with alcoholic beverages in the Czech Republic and the USA. It identifies a typical consumer in both countries and describes common and different characteristics. The analysis of secondary data examines the trends of alcohol consumption in the Czech Republic and the USA. The price analysis of alcoholic beverages in the Czech Republic and the USA is also described. To accomplish the goals of the thesis, primary research is carried out by a questionnaire survey in both countries. Segmentation of Czech and American respondents is also done in the analysis of primary data by cluster analysis. The outcome of this thesis is recommendations for regulating alcohol consumption for the governments of both countries.

This work is trying to propose Diarization System based on Bayesian Information Criterion (BIC). In this paper is possible to find description of background theory and short description of previously used systems. Idea of this work is to try to use methods proposed earlier in a faster and more reliable way. Proposed system was tested on some records to prove its error rate. Results of tests are not very good but some possible improvements are proposed.

The aim of the thesis is the segmentation of the Czech population which is serviceable in social marketing, specifically for creation of social program with the theme of responsible consumption of alcohol. It is based on a segmented group's approach to alcohol and furthermore the segments are profiled according to their lify style. First of all in the theoretical part of the thesis there is explained why it is important to pay attention to the issue of alcohol consumption in the Czech republic and what kind of consequences of increased alcohol consumption can have for individuals, society and the state. Subsequently it is described in which programs associated with the problem of alcohol already the state was involved. Later on the segmentation in social marketing is characterized and there are explained the approaches which are used in it. In the practical part through the analytical program Data Analyzer the segmentation is performed using database of data MML - TGI provided by Median. In the segmentation there were used demographic, geographic, and especially life style criteria for detailed profiling of all segments. Segmentation outputs can be used by non-profit organizations or the National Drugs Coordinator in creating a social program, of which theme is the responsible consumption of alcohol.

Accurate and automatic segmentation techniques that do not require any explicit prior model have been of high interest in the medical community. We propose a fully-automatic method for segmenting the femur from 3D Computed Tomography scans, based on the graph-cut segmentation framework and the bone boundary enhancement filter analyzing second-order local structures. The presented algorithm is evaluated in large-scale experiments, conducted on 197 CT volumes, and compared to other three automatic bone segmentation methods. Out of the four tested approaches, the proposed algorithm achieved most accurate results and segmented the femur correctly in 81% of the cases.

The thesis focuses on segmentation of images with leaves of woody species. The main aim was to investigate existing image segmentation methods, choose suitable method for given data and implement it. Inputs are scanned leaves and photographs of various quality. The thesis summarizes the general methods of image segmentation and describes algorithm that gives us the best results. Based on the histogram, the algorithm decides whether the input is of sufficient quality and can be segmented by Otsu algorithm or is not and should be segmented using GrowCut algorithm. Next, the image is improved by morphological closing and holes filling. Finally, only the largest object is left. Results are illustrated using generated output images. Powered by TCPDF (www.tcpdf.org)

The aim of this thesis is to analyze the online sales of the travel agency New Travel.cz for the past year 2010 and then use the particular results of the analysis and find out and characterize the major market segments of this company. The travel agency gets through the market segmentation better general view of it's customers and consumer's behavior and comapny can effectively focusing their marketing activities. This analysis can be regarded as pilot project of the New Travel.cz., therefore, deals only with the sale of the previous year. This analysis will serve as a source of information needed to progression of the new generation database of tours and administrative interface of travel agency New Travel.cz.

This thesis is dedicated to the problem of communication strategy in the fashion business with application on one of the fashion retailers, Kenvelo. Clothing business, or as we will refer here fashion business is together with food, transportation and communication businesses one of the most natural and essential parts of our lives. Nonetheless, fashion business is one of the most challenging and unpredictable ones, driven by many different factors and sometimes hardly comprehensive links. The main aim of the thesis is to identify the communication tools appropriate for the target group of Kenvelo, develop a new concept for communication and propose a media plan which would support this concept.

Práce se zabývá možnostmi využití modelů latentních tříd při segmentaci trhu. Jejím cílem je vysvětlit hlavní myšlenku, na níž jsou modely latentních tříd založeny, podat výklad nejužívanějších metod a algoritmů a především demonstrovat aplikaci latentních modelů na problematiku segmentace trhu. Je členěna do třech částí. První část poskytuje uvedení do problematiky segmentace trhu.Popisuje koncept segmentace trhu a kritéria efektivní segmentace, obsahuje klasifikaci segmentačních proměnných a souhrn nejčastěji používaných metod a technik při segmentaci trhu. Druhá část se zabývá teoretickými východisky modelů latentních tříd. Vysvětlena je podstata latentních modelů, jejich matematická formulace a způsob odhadu parametrů modelu. Třetí část obsahuje výsledky použití modelu latentních tříd na konkrétní segmentační studii. Studie se týká trhu finančních služeb a jejím cílem bylo identifikovat a následně charakterizovat segmenty homogenní z hlediska vlastnického profilu finančních produktů.

Cílem práce je odhalit segmenty na českém trhu jogurtů. Práce obsahuje charakteristiku produktu a jednotlivých tržních subjektů. Data jsou zpracována na základě primárních dat (dotazníkové šetření). Práce obsahuje primární analýzu, křížovou a shlukovou analýzu. Výsledkem je charakteristika jednotlivých segmentů včetně marketingového doporučení.

Diplomová práce je zaměřena na problematiku segmentace trhu. Teoretická část popisuje pravidla segmentace trhu, její proces, výhody a omezení. Rozlišuje segmentační faktory na základě typu trhu, jde-li o trhy spotřebitelské nebo trhy průmyslové. Praktická část navazuje nastavením diferencovaného přístupu k zákazníkům firmy TDS. Zhodnocuje situaci ve společnosti TDS. Tento strategický manuál může být pro firmu nápovědou, která poukazuje na stěžejní oblasti v přístupu k zákazníkům, na které se firma může zaměřit k upevnění vztahů se zákazníky.