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Sequential Reporting in a Healthcare IS
Adásek, Denis ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
The thesis focuses on mining sequential patterns in data, which consist of the history of actions performed by users of a healthcare management information system. The objective of the thesis is to design and implement an application that creates a predictive model based on frequent sequences. This model is capable of predicting potential subsequent actions based on those already taken. The outcome of the thesis includes valid predictions of possible user behaviors within the system based on performed activities.
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The Betting Agent
Bělohlávek, Jiří ; Rozman, Jaroslav (referee) ; Grulich, Lukáš (advisor)
This master thesis deals with design and implementation of betting agent. It covers issues such as theoretical background of an online betting, probability and statistics. In its first part it is focused on data mining and explains the principle of knowledge mining form data warehouses and certain methods suitable for different types of tasks. Second, it is concerned with neural networks and algorithm of back-propagation. All the findings are demonstrated on and supported by graphs and histograms of data analysis, made via SAS Enterprise Miner program. In conclusion, the thesis summarizes all the results and offers specific methods of extension of the agent.
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Business Process Analysis and Optimization Design Using Data Mining
Bartík, Branislav ; Randus, Jiří (referee) ; Kříž, Jiří (advisor)
This bachelor thesis is focused on business process analysis in Acision ltd. There is the group of specialists or teams chosen, on which the performance analysis is being performed that can serve as the base for further managerial decision making. The thesis is divided into the theoretical and the practical part. The theoretical part contains description of methods that are used and are applied in practice and might be applicable in Acision ltd. The practical part contains description of business process and business data analysis where modern methods are being used (Business Intelligence – Data mining) and contains own design of how to make data mining applicable upon these process.
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Using the Tools of Business Intelligence in Customer Care Center
Mencner, Jacek ; Luhan, Jan (referee) ; Kříž, Jiří (advisor)
This master's thesis deals with proposal of Business Intelligence solution. The main task is analysis of Customer Care processes, based on which the Business Intelligence solution has been designed. Thanks to obtained knowledge changes has been made to get more effective contact process. The first part of the thesis describes the theoretical foundations of Business Intelligence. In the second part is analysis of the current situation and solution proposal.
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Concept of Business Intelligence Using for SME's
Stryka, Lukáš ; Soukup, Lukáš (referee) ; Videcká, Zdeňka (advisor)
This Diploma Thesis deals with analysis of the current processes in small software company. On the basis of the weakness evaluation, the new extensions of the information system are designed. The first extension is new module for on-line sale and cashless on-line payment. The second one is integration of Business Intelligence tools to help streamline marketing strategies of this company.
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Desing and Implementation of Business Intelligence in Web Environment
Krupa, Peter ; Řezáč, Oldřich (referee) ; Kříž, Jiří (advisor)
This thesis discusses Bussiness Intelligence as a supporting tool for decision making in company leadership. A design of such tool in web-based environment, fitted for a concrete company, as well as a real-life solution, built on the PHP platform and using the MySQL relational database, is provided. The resulting application makes use of both tables and charts for data visualisation, thus showcasing a simplified view for better data usage and understanding.
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Integration, Visualization, and Mining from Data of World Countries
Dušek, Vladimír ; Rychlý, Marek (referee) ; Bartík, Vladimír (advisor)
This thesis explores the utilization of open data about countries around the world, particularly data in the areas of progress and quality of life. The goal was to design and implement a web application to present this data and further use the data for data mining. The integration and processing of data from open data sources were accomplished using the Apache Airflow platform. The Python framework FastAPI was used to create the API and the JavaScript library ReactJS was used to implement the web application. In the application, the indicators are categorized. Each of them can be displayed for different groups of countries, for different time periods, and in several visualizations. From the domain of data mining, clustering of countries based on a group of indicators and prediction of future development of selected indicators using regression analysis was performed. The final application is available at jakjsmenatom.cz.
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Proposal Solution of Business Intelligence
Drdla, Tomáš ; Menčík, Tomáš (referee) ; Kříž, Jiří (advisor)
The aim of this thesis is to propose Business Intelligence solutions and consider its impact on decision-making, implementation costs, the overall contribution to the company and make a proposal that will help to change in the present conditiontion unsatisfactory situation of data management in enterprise JáNěkdo.CZ s.r.o.
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Integration, Visualization, and Mining from Data of World Countries
Dušek, Vladimír ; Rychlý, Marek (referee) ; Bartík, Vladimír (advisor)
This thesis explores the utilization of open data about countries around the world, particularly data in the areas of progress and quality of life. The goal was to design and implement a web application to present this data and further use the data for data mining. The integration and processing of data from open data sources were accomplished using the Apache Airflow platform. The Python framework FastAPI was used to create the API and the JavaScript library ReactJS was used to implement the web application. In the application, the indicators are categorized. Each of them can be displayed for different groups of countries, for different time periods, and in several visualizations. From the domain of data mining, clustering of countries based on a group of indicators and prediction of future development of selected indicators using regression analysis was performed. The final application is available at jakjsmenatom.cz.
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