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	Creation of New Clasification Units in Data Mining System on NetBeans Platform Kmoščák, Ondřej ; Bartík, Vladimír (referee) ; Lukáš, Roman (advisor) This diploma thesis deals with the data mining and the creation of data mining unit for data mining system, which is beeing developed at FIT. This is a client application consisting of a kernel and its graphical user interface and independent mining modules. The application uses support of Oracle Data Mining. The data mining system is implemented in Java language and its graphical user interface is built on NetBeans platform. The content of this work will be the introduction into the issue of knowledge discovery and then the presentation of the chosen Bayesian classification method, for which there will subsequently be implemented the stand-alone data mining module. Furthermore, the implementation of this module will be described. Detailed record
	Web Application for Managing Software Detection Rules in Software Asset Management Drtil, David ; Burget, Radek (referee) ; Rychlý, Marek (advisor) The content of this thesis is the management of a library of rules used for software recognition on devices. The application has special purpose in the Software Asset Management system and other components depend on it. Software product recognition is performed by applying rules to the information present about the installation of the programs. Formats for writing rules and methodology may be different, but they are based on the original Alvao best practice. The work is primarily focused on simplifying and automating the process of creating or adjusting rules by means of appropriate suggesting of the resulting rules, categorization or other related actions. Detailed record
	Creation of New Clasification Units in Data Mining System on NetBeans Platform Kmoščák, Ondřej ; Bartík, Vladimír (referee) ; Lukáš, Roman (advisor) This diploma thesis deals with the data mining and the creation of data mining unit for data mining system, which is beeing developed at FIT. This is a client application consisting of a kernel and its graphical user interface and independent mining modules. The application uses support of Oracle Data Mining. The data mining system is implemented in Java language and its graphical user interface is built on NetBeans platform. The content of this work will be the introduction into the issue of knowledge discovery and then the presentation of the chosen Bayesian classification method, for which there will subsequently be implemented the stand-alone data mining module. Furthermore, the implementation of this module will be described. Detailed record

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