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User support 4ft-Miner procedure for data mining
Kupka, Daniel ; Rauch, Jan (advisor) ; Ralbovský, Martin (referee)
Up to now the file of knowledges with 4ft-Miner procedure was concerned only in the heads of data mining analysts. So, it was usefull, pursuant many analyses, to collect advices and experiences for data mining. This file of advices is also a part of this work. Furthermore, theoretical findings about using applicable 4ft-quantifiers according to practical situation are presented. This work also contains proposal of two new 4ft-quantifiers - above negation quantifier and pairing quantifier. For ASSOC-procedures users web application for collecting, editing advices, experiences and background knowledges is discribed and implemented. Benefit of this application is also in structuralization of inserted informations. The work also contains common design and the description of implementation of the tool for advices creation in Ferda DataMiner environement. Here, proceeding from possibilities ordered by their priority can be choosen. Informations provided by this tool are not only static, but they react on results of present and last analyses.
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User support 4ft-Miner procedure for data mining
Kupka, Daniel ; Ralbovský, Martin (referee) ; Rauch, Jan (advisor)
Up to now the file of knowledges with 4ft-Miner procedure was concerned only in the heads of data mining analysts. So, it was usefull, pursuant many analyses, to collect advices and experiences for data mining. This file of advices is also a part of this work. Furthermore, theoretical findings about using applicable 4ft-quantifiers according to practical situation are presented. This work also contains proposal of two new 4ft-quantifiers - above negation quantifier and pairing quantifier. For ASSOC-procedures users web application for collecting, editing advices, experiences and background knowledges is discribed and implemented. Benefit of this application is also in structuralization of inserted informations. The work also contains common design and the description of implementation of the tool for advices creation in Ferda DataMiner environement. Here, proceeding from possibilities ordered by their priority can be choosen. Informations provided by this tool are not only static, but they react on results of present and last analyses.
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