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Data Structure Proposal and Website Design for Mystery Shopping Agency
Blahušiaková, Barbora ; Lát, Radek (oponent) ; Klusák, Aleš (vedoucí práce)
The main object of this thesis is a data structure proposal as a base for a website and information system for a mystery shopping company. The data structure and website will minimize employee’s mistakes, simplify their work and shorten time intervals in communication between employees and company’s clients. The theoretical part of bachelor thesis describes resources and methods used for the creation of the data structure and company’s website. The analytical part will be defining and describing the company’s requirements as a basis for proposal of data structure and realization of the company’s website. Furthermore, the thesis contains concrete real design of data structure and website.
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Automated Web Page Categorization Tool
Lat, Radek ; Bartík, Vladimír (oponent) ; Malčík, Dominik (vedoucí práce)
This master's thesis describes the design and implementation of a tool for automated web pages categorization. The goal of this tool is to be able to learn from given sample web pages how each category looks like. Later, it should manage to assign these categories to previously unseen web pages. The tool should support multiple categories and languages. Advanced machine learning, language detection, and data mining techniques were used for the development of this tool. It is based on open source libraries and it is written in Python 3.3.
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Data Structure Proposal and Website Design for Mystery Shopping Agency
Blahušiaková, Barbora ; Lát, Radek (oponent) ; Klusák, Aleš (vedoucí práce)
The main object of this thesis is a data structure proposal as a base for a website and information system for a mystery shopping company. The data structure and website will minimize employee’s mistakes, simplify their work and shorten time intervals in communication between employees and company’s clients. The theoretical part of bachelor thesis describes resources and methods used for the creation of the data structure and company’s website. The analytical part will be defining and describing the company’s requirements as a basis for proposal of data structure and realization of the company’s website. Furthermore, the thesis contains concrete real design of data structure and website.
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Automated Web Page Categorization Tool
Lat, Radek ; Bartík, Vladimír (oponent) ; Malčík, Dominik (vedoucí práce)
This master's thesis describes the design and implementation of a tool for automated web pages categorization. The goal of this tool is to be able to learn from given sample web pages how each category looks like. Later, it should manage to assign these categories to previously unseen web pages. The tool should support multiple categories and languages. Advanced machine learning, language detection, and data mining techniques were used for the development of this tool. It is based on open source libraries and it is written in Python 3.3.
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