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Data comparability in knowledge discovery in databases
Horáková, Linda
;
Chudán, David
(advisor) ;
Svátek, Vojtěch
(referee)
The master thesis is focused on analysis of data comparability and commensurability in datasets, which are used for obtaining knowledge using methods of data mining. Data comparability is one of aspects of data quality, which is crucial for correct and applicable results from data mining tasks. The aim of the theoretical part of the thesis is to briefly describe the field of knowledqe discovery and define specifics of mining of aggregated data. Moreover, the terms of comparability and commensurability is discussed. The main part is focused on process of knowledge discovery. These findings are applied in practical part of the thesis. The main goal of this part is to define general methodology, which can be used for discovery of potential problems of data comparability in analyzed data. This methodology is based on analysis of real dataset containing daily sales of products. In conclusion, the methodology is applied on data from the field of public budgets.
Detailed record
Design of Data Structures using RDFS/OWL
Horáková, Linda
;
Dudáš, Marek
(advisor) ;
Mynarz, Jindřich
(referee)
The main aim of the bachelor thesis is to explore possibilities and advantages of publishing statistical data on Semantic Web according to Linked Data Principles. In theoretical part readers are familiarized with basic features of Semantic Web, principles and options of publishing Linked Data. The thesis is mainly focused on an analysis of existing vocabularies used for description of statistical data, especially in the field of public spending. The outcome of the analysis is the statement that general vocabularies are more suitable for description of statistical data, because they provide wider possibilities than proprietary ontologies. The result of the analysis was verified by the draft concept of data structure describing the field of public spending, which is based on general Data Cube Vocabulary. The practical part of the thesis also contains construction of SPARQL query which can be used for automatic transformation of current data to the shape that is suitable to the new data structure.
Detailed record
See also: similar author names
43
HOŘÁKOVÁ, Lucie
1
Horáková, Ladislava
20
Horáková, Lenka
43
Horáková, Lucie
43
Hořáková, Lucie
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