Knowledge Discovery in Databases (KDD) is gaining importance with the rising amount of data being collected lately, despite this analytic software systems often provide only the basic and most used procedures and algorithms. The aim of this thesis is to extend RapidMiner, one of the most frequently used systems, with some new procedures for data preprocessing. To understand and develop the procedures, it is important to be acquainted with the KDD, with emphasis on the data preparation phase. It's also important to describe the analytical procedures themselves. To be able to develop an extention for Rapidminer, its needed to get acquainted with the process of creating the extention and the tools that are used. Finally, the resulting extension is introduced and tested.

Topographic mapping of rock formations using GIS methods Abstract This thesis deals with issues of creating 3D models of rock formations with data from terrestrial laser scanning, close range photogrammetry and UAV photogrammetry. The theoretical part focuses on explaining functioning and usage of those methods. Beside that there is described issues of 3D point cloud filtering. Practical part of this work describes data collecting and processing procedure. Further there is proposed filtering process which aim to remove noise points from point clouds and remove vegetation with combination of vegetation index ExG, clustering algorithm DBSCAN and Hough Transform. The proposed method is tested on the selected rock formation in Bohemian Switzerland National Park. The evaluation of the proposed method is based on comparison of models filtered with proposed method with reference models, which are filtered manually. Finally, the achieved accuracy of the models is evaluated using geodetic measurements. key words laser scanning, photogrammetry, UAV, point cloud, data filtering

The aim of the diploma thesis is to analyze the current state of creation of management reporting, its contribution to a company and to create a proposal for improving and expanding awareness of reporting in a company.

The aim of this thesis is to design universal sensoric platform for data collection in manufacturing environment. Device is capable of collecting data from variety of sensors, but it is also able to control external systems. Platform is controled by Lua scripts. The scripts are generated in user friendly visual programming environment Blockly. Platform is based on WiFi module ESP-WROOM-02.

This thesis deals with the analysis and display of multidimensional data. In the theoretical part, the issue of data mining, its tasks and techniques, and a brief explanation of the terms Business Intelligence and data warehouse are presented. The issue of databases is also described in this thesis. Subsequently, the options for displaying multidimensional data are described. At the end of the theoretical part is briefly explained the problems of optical networks and especially the terms Gigabit passive optical network and its frame, because the data from the frames of this network will be displayed by an application. In the practical part, you can find creating a source database and an application to create a OLAP cube and display multidimensional data. This application is based on the theoretical knowledge of multidimensional databases and OLAP technology.

This work is covering desing of database system which stores results of measerements performed on test stations which are part of assembly line.

This diploma thesis solves the proposal for personal data protection according to the Regulation (EU) 2016/679 of 27 April 2016 (generally known under the abbreviation GDPR) in a chosen company. The thesis begins with a theoretical background followed by the part devoted to the analysis of the company. These results are further confronted with the own solution which is presenting the proposals and recommendations to bring the selected company into line with the GDPR.

Cílem práce je vytvoření přehledu o existujících přístupech pro předzpracování dopravních dat se zaměřením na objevování sémantických trajektorií a návrh a vývoj rámce, který integruje dopravní data z GPS senzorů se sémantikou. Problém analýzy nezpracovaných trajektorií spočíva v tom, že není natolik vyčerpávající, jako analýza trajektorií, které obsahují smysluplný kontext. Po nastudování různých přístupů a algoritmů sleduje návrh a vývoj rámce, který objevuje semantická místa pomocí schlukovací metody záložené na hustotě, aplikované na body zastavení v trajektoriích. Návrh a implementace rámce byl zhodnotěn na veřejně přístupných datových souborech obsahujících nezpracované GPS záznamy.

This thesis deals with the problematic of test-data generation for relational databases. The aim of the this thesis is to design and implement tool which meets defined constrains and allows us to generate test-data. This tool uses SMT solver for constraint solving and test-data generation.

The diploma thesis deals with the development of a software library for aggregating data from electricity meters and sending data to a central station. The most used protocols in smart grids are described. The work deals in more detail with the most important parts of the DLMS/COSEM standard. The DLMS protocol is described, which ensures communication between clients and servers. Next, the COSEM object model is described, which specifies object modeling, for access to measuring devices, and the OBIS system, which determines the identification of data objects. The Gurux library, which specializes in intelligent meter readings, is also described. The results of the work describe the implementation and testing of a software library for aggregation of data from servers using the DLMS/COSEM protocol using the GURUX library. At the end of the work is described a series of tests that were performed using this software library.