The thesis deals with the application of NIC, NOC classifications in patients with stoma. Every nurse uses a classification system of health care which describes activities or interventions done by nurses as a part of planning phase of nursing process in connection with creation of nursing care plan. These classifications also focus on developement of nursing care objectives and evaluating of the effect of nursing care results. Due to these classifications, the nursing care results are mesurable. In the theoretical part of the thesis, we focus on classification systems of nursing care, then on GIT diseases which lead to insertion of stoma, its care, care of patients with stoma and last but not least, on nursing documentation. Several objectives were set to meet the main target of the thesis. Firstly, to map nurses' opinion on nursing classifications; secondly, to find out which NOC indicators are usually judged by nurses in the care of patients with stoma; thirdly, to find out which activities are usually used by nurses in the care of patients with stoma; fourthly, to check up on application of NIC, NOC classification in the care of patients with stoma. The qualitative reserch was hold in two phases. In the first phase of the qualitative research, a nursing documentation was created on the basis of NIC and NOC classification related to care of the patients with stoma. In the second phase of the qualitative research, we interviewed ten nurses who had worked with the particular nursing documentation.

This thesis is focused on knowledge discovery from databases, especially on methods of classification and prediction. These methods are described in detail.  Furthermore, this work deals with multimedia databases and the way these databases store data. In particular, the method for processing low-level image and video data is described.  The practical part of the thesis focuses on the implementation of this GMM method used for extracting low-level features of video data and images. In other parts, input data and tools, which the implemented method was compared with, are described.  The last section focuses on experiments comparing extraction efficiency features of high-level attributes of low-level data and the methods implemented in selected classification tools LibSVM.

The aim of this work is the genetic design of neural networks, which are able to classify within various classification tasks. In order to create these neural networks, algorithm called NeuroEvolution of Augmenting Topologies (also known as NEAT) is used. Also the idea of preprocessing, which is included in implemented result, is proposed. The goal of preprocessing is to reduce the computational requirements for processing of benchmark datasets for classification accuracy. The result of this work is a set of experiments conducted over a data set for cancer cells detection and a database of handwritten digits MNIST. Classifiers generated for the cancer cells exhibits over 99 % accuracy and in experiment MNIST reduces computational requirements more than 10 % with bringing negligible error of size 0.17 %.

This master's thesis deals with knowledge discovery in databases, especially basic methods of classification and prediction used for data mining are described here. The next chapter contains introduction to multimedia databases and knowledge discovery in multimedia databases. The main goal of this chapter was to focus on extraction of low level features from video data and images. In the next parts of this work, there is described data set and results of experiments in applications RapidMiner, LibSVM and own developed application. The last chapter summarises results of used methods for high level feature extraction from low level description of data.

Recent data mining methods represent modern approaches capable of analyzing large amounts of data and extracting meaningful and potentially useful information from it. In this work, we discuss all the essential steps of the data mining process - including data preparation, storage, cleaning, data analysis as well as visualization of the obtained results. In particular, this work is focused on the data available publicly from the Insolvency Register of the Czech Republic, that comprises all insolvency proceedings commenced after 1. January 2008 in the Czech Republic. With regard to the considered type of data, several data mining methods have been discussed, implemented, tested and evaluated. Among others, the studied techniques include Market Basket Analysis, Bayesian networks and social network analysis. The obtained results reveal several social patterns common in the current Czech society.

The diploma thesis covers the theme of mutual influence of assessment, self-evaluation and social position of a student in lower secondary level classes. Focus lies also on the relationship of the studied phenomena to sex of the respondents. The data from the social relationship study are analyzed thoroughly to disclose the social structure of the studied classes. The thesis is divided into two parts, a theoretical part and a practical part. The theoretical part deals with assessment and its specifics, functions, types, forms, phases and also with self-evaluation. The topic of social group is then developed focusing on different kinds of social groups, the position and the role of the member of a group and social norms. As the third topic, the bachelor thesis concerns with a school class and its specifics, factors determining its status, the position and the role of a student in a class and also with the methods of analyzing a school class. The last topic of the theoretical part are general features of psychological development, its determiners, and life stages of psychological development with special regard to puberty. In the practical part there are presented the results of research which was realized with the students of sixth grade, respectively seventh grade classes at lower secondary...

The present thesis focuses on assessment of pupils at primary school in relation to motivation for learning. The theoretical part describes kinds and forms of assessment and aspects influencing students' motivation. The practical part researches if a form of assessment influences student's motivation. Research results show that a student's motivation is determined by family influence and upbringing from which a student's attitude to education unreels. School assessment does not cause students any problems; it is important and desirable for them and their parents.

Possibilities of remote sensing in grassland vegetation and management interventions monitoring in the Giant Mountains Abstract The aim of this thesis was to evaluate suitability of WorldView-2 imagery for grassland associations classification in the model area of Giant Mountains. The classification was based both on the legend compiled by a botanist, and on the legend of Natura 2000. In order to eliminate the effects of other types of land cover on the classification accuracy, a mask of grasslands was created. Using discriminant analysis, the significance of spectral bands of WorldView-2, as well as signifikance of selected vegetation indices and components from Principal Component Analysis (PCA) - to distinguish particular classes of grassland vegetation were evaluated. Based on the results of discriminant analysis, classifications using neural networks method and also maximum likelihood method were performed in ENVI 4.7 version software. The results of the both method were compared Key words: remote sensing, meadows association, classification, Giant mountains, WorldView 2

Title: Evaluation of the number drowned people in the Czech Republic in the years 1994-2010 Aim of the thesis: Evaluate the number of drowning people in the Czech republic. Methods: Searches of available sources. Collecting data from the Czech Statistical office, media, information portals. Results: All the processed data was given in the context of the current causes of drowning people in natural waters, which can not be assessed to the short time generalize. In the month of July was a positive correlation between the number of the people drowned and the temperature. Results of this work can not be compared with foreign countries and assume that the results will be the same. Keywords: Drowning, International Classificasion of Diseases, Water Rescue Service, the casuse of drowning.

Classification of road network from airborne laser scanning data and from remote sensing images with high resolution Abstract Object classification of land cover is currently one of the methods of remote Earth exploration. Road network classification only is unique because it is covered with anthropogenic material and has different characteristics than other elements of the landscape. This work deals with the possibility of using a combination of data from airborne laser scanning and high resolution optical data for detection of the road network in the specific area. The premise is that the use of two different types of data could provide better results, because airborne laser scanning data provide very precise information about the position and height of the point, while satellite data of very high resolution represent the real landscape. Searching for suitable features and classification rules for unambiguous determination of the road network is one of the objectives of the work. Segmentation parameters will also be important for object classification. Another objective is to verify the transferability of classification schemes into the other scene. The results should present a response on whether a procedure can be applied over a different location and also that the use of two types of data can bring...