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Datamining of Relevenat Information from WWW with Using Social Networks
Smolík, Jakub ; Zelený, Jan (referee) ; Samek, Jan (advisor)
This thesis focuses on solving problems related to searching of relevant data on the internet. In text is presented possible solution in form of application capable of automated extraction and aggregation of data from web and their presentation, based on input key words. For this purpouse there were studied and discribed possibilities of automated extraction from three chosen data types, mainly used as data storages on the internet. Furthermore it focuses on ways of data mining from social networks. As a result it pressents planning, implementation, realization and testing of created appliation which can easily find, display and let user easy access searched informations.
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Old cultural landscapes of Moravia
Kolejka, Jaromír
In the years 2016-2020, an inventory of landscape segments took place in the historical territory of Moravia, the appearance of which is currently similar to their image in the pre-industrial period on cadastral maps from the first half of the 19th century. When solving the project of the NAKI program of the Ministry of Culture of the Czech Republic, 1139 segments of the old pre-industrial landscape larger than 10 ha were included in the extensive database. About 10 other characteristics were found for each segment, which serve for geostatistical analysis and classification. The article outlines the concept, time classification and procedure of identification of the remains of the old pre-industrial cultural landscape using the current color orthophotomap and imperial prints of cadastral maps from the 1820s-1830s. The historical events that preceded the emergence of the pre-industrial landscape are described in detail. The causes that led to dramatic changes in the cultural landscape in the age of industrial society are also listed. The map documentation provides an overview of the nature of the available data on old landscapes and the location of their identified remains in the historical territory of Moravia.\n\n
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Pre-industrial and post-industrial landscape in Moravia: concept and reality
Kolejka, Jaromír ; Batelková, Kateřina
The paper deals with the scientific concept of the terms the post-industrial and the pre-industrial landscape and presents available data sources needed for their identification in the Czech Republic. The overview shows the current state of knowledge and the research progress in the study of such historical landscapes. In brief, the methodology of their identification, mapping and classification is given. The post-industrial landscape Rosice-Oslavany and the pre-industrial landscape Bělečsko are presented as examples from the historical territory of Moravia. Their significance for cognitive, educational and conservation practices is emphasized.
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Datamining of Relevenat Information from WWW with Using Social Networks
Smolík, Jakub ; Zelený, Jan (referee) ; Samek, Jan (advisor)
This thesis focuses on solving problems related to searching of relevant data on the internet. In text is presented possible solution in form of application capable of automated extraction and aggregation of data from web and their presentation, based on input key words. For this purpouse there were studied and discribed possibilities of automated extraction from three chosen data types, mainly used as data storages on the internet. Furthermore it focuses on ways of data mining from social networks. As a result it pressents planning, implementation, realization and testing of created appliation which can easily find, display and let user easy access searched informations.
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Towards Complex Data and Information Quality Management
Pejčoch, David ; Rauch, Jan (advisor) ; Máša, Petr (referee) ; Novotný, Ota (referee) ; Kordík, Pavel (referee)
This work deals with the issue of Data and Information Quality. It critically assesses the current state of knowledge within tvarious methods used for Data Quality Assessment and Data (Information) Quality improvement. It proposes new principles where this critical assessment revealed some gaps. The main idea of this work is the concept of Data and Information Quality Management across the entire universe of data. This universe represents all data sources which respective subject comes into contact with and which are used under its existing or planned processes. For all these data sources this approach considers setting the consistent set of rules, policies and principles with respect to current and potential benefits of these resources and also taking into account the potential risks of their use. An imaginary red thread that runs through the text, the importance of additional knowledge within a process of Data (Information) Quality Management. The introduction of a knowledge base oriented to support the Data (Information) Quality Management (QKB) is therefore one of the fundamental principles of the author proposed a set of best
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