This work concerns with data analysis of DNA microarrays by using cluster analysis. It explains biological terms - gene expression and DNA microarray. Next, it contains mathematical and informatical description of clustering methods and describes a way to apply these methods to microarrays data. Next, the work contains implementation's detail of clustering methods k-means, DBSCAN and introduces an original clustering algorithm Strom++. Then, description of implementation and application manual follow. Finally, accomplished results are evaluated.

This work deals with the 2D and 3D visualization of simulation outputs from the k-Wave toolbox. This toolbox, designed to accurately model the propagation of ultrasound waves in the human body, usually generates immense amounts of output data (up to hundreds of GB). That is why new methods for both the visualization and the effective data representation are necessary to be developed to help users to easily understand the simulation results. This thesis elaborates on the data format, simulation outputs are stored in, with the use of the HDF5 library and looking for the best way to quickly read the simulation data. Finally, the thesis presents the design and the implementation of the console-based application for big simulation data pre-processing and the GUI-based application for interactive visualization of the pre-processed data. The most significant features of these applications are downsampling data, changing the format of storing, viewing 2D sections, planar and volumetric visualization and animation of the simulation process. The proposed implementation allows parts of the simulation domain to be visualised within tens of milliseconds even if the simulation domain comprises GBs of data - This significantly streamlines the work of scientists and clinicians in the field of HIFU.

This Master's thesis concerns the description of the systems used for the support of the administrative processes in legal offices. It focuses on finding the processes in offices, analyzes the possibilities for their simplification and automation. The great emphasis is placed especially on possibilities of automatic acquisition of information from public databases. Furthermore, the thesis describes and compares already existing solutions that are commonly available on the market. In another part of this thesis is being solved proposal of system itself and choice of suitable technologies for its practical implementation. The main goal of this paper is to implement the system according to generated proposal and its testing on real data.

This thesis deals with the design of hardware unit used for acceleration of the process of securing network traffic within Lawful Interception System developed as a part of Sec6Net project. First aim of the thesis is the analysis of available security mechanisms commonly used for securing network traffic. Based on this analysis, SSH protocol is chosen as the most suitable mechanism for the target system. Next, the thesis aims at introduction of possible variations of acceleration unit for SSH protocol. In addition, the thesis presents a detailed design description and implementation of the unit variation based on AES-GCM algorithm, which provides confidentiality, integrity and authentication of transmitted data. The implemented acceleration unit reaches maximum throughput of 2,4 Gbps.

This thesis focuses on the problematics of implementing a multilevel association rules mining module, for existing data mining project. There are two main algorithms explained, Apriori and MLT2L1. The thesis continues with the datamining module implementation, as well as the DMSL elements design. In the final chapters deal with an example dataminig task and its result comparison as well as the whole thesis achievement description.

There are statistical data gathered as a part of the operation of the intersections controlled by the traffic light signalling devices. This data concerns characteristics of traffic flows and parameters of the aplied controlling strategy and can be valuable source of information that can be used to improve the controlling strategy or creation of a mathematical model describing the behaviour of the traffic flows. These models are closely studied and used for prediction of the immediate development of the traffic flows based on their current states. This paper is trying to design means to create such models and to work with them.

This diploma work presents design and implementation of web information system for historians (called Electronic Encyclopaedia of History) with data model based on semantic network and of several tools for data analysis in such IS, using graph algorithms and graph mining methods.

This diploma thesis deals with the use of the cloud in a particular company. The main objective is to select a system that enables sharing and synchronizing data between employees and to prepare a proposal to deploy the system with regard to specific needs of the analyzed company. As part of the work is also the situation analysis, opportunity study and risk analysis.

Diploma thesis is focused on the range of problems relating to marketing strategy. Theoretical part is dedicated ensuring termination and methods of marketing and marketing strategy. In the next part of the thesis is analyze current status of company Chaudry&Goraya s. r. o. Diploma thesis also deals with proposal of marketing strategy. Thesis contains suggestions for the improvement current situation.

The aim of this master thesis was to design and develop decision making solution (Business Intelligence) for company Toprecepty.cz. Thanks to this solution, company management will have the ability to produce better decisions based on gained analytical information.