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Implementation of SQL/MM DM for Association Rules
Škodík, Zdeněk ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
This project is concerned with problems of knowledge discovery in databases, in the concrete then is concerned with an association rules, which are part of the system of data mining. By that way we try to get knowledge which we can´t find directly in the database and which can be useful. There is the description of SQL/MM DM, especially then all user-defined types given by standard for association rules as well as common types which create framework for data mining. Before the description of implementation these types, there is mentioned the instruments which are used for that - programming language PL/SQL and Oracle Data Mining support. The accuracy of implementation is verified by a sample application. In the conclusion, achieved results are evaluated and possible continuation of this work is mentioned.
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Graphical Layer for a Data Mining System
Gálet, Michal ; Burget, Radek (referee) ; Zendulka, Jaroslav (advisor)
The issue of this MSc. project is a design and implementation of a graphical user interface for a data mining system. The application is a front-end for an existing data mining library and allows the user to visually define the data mining process using a graphical editor and a component palette. The solution is built on a NetBeans Rich Client Platform and takes many benefits from using rich components available in this platform. The user may define his work in the projects, edit and persist DMSL documents, run the mining tasks and view the mining results. The system is designed to emphasize the modularity and extensibility of the solution.
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Creation of New Prediction Units in Data Mining System on NetBeans Platform
Havlíček, David ; Bartík, Vladimír (referee) ; Lukáš, Roman (advisor)
The issue of this master's thesis is a creation of new prediction unit for existing system of knowledge discovery in database. The first part of project deal with general problems of knowledge discovery in database and predictive analysis. The second part of the project deal with system developed on FIT, for which is module implemented, used technologies, concept and implementation of mining module for this system. The solution is implemented in Java language and is a built on the NetBeans platform.
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Functionality Extension of Data Mining System on NetBeans Platform
Šebek, Michal ; Zendulka, Jaroslav (referee) ; Lukáš, Roman (advisor)
Databases increase by new data continually. A process called Knowledge Discovery in Databases has been defined for analyzing these data and new complex systems has been developed for its support. Developing of one of this systems is described in this thesis. Main goal is to analyse the actual state of implementation of this system which is based on the Java NetBeans Platform and the Oracle database system and to extend it by data preprocessing algorithms and the source data analysis. Implementation of data preprocessing components and changes in kernel of this system are described in detail in this thesis.
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Mining Modules of Data Mining System on NetBeans Platform
Henkl, Tomáš ; Lukáš, Roman (referee) ; Zendulka, Jaroslav (advisor)
The master's thesis deals with the knowledge discover in databases and with the extending of the data mining systems in the Oracle environment developed at the VUT FIT. The system kernel conception incorporates an interface that enables the adding of data mining modules. The objective of the thesis is to learn this interface and implement and embed the data mining module for decision-tree classification into the application. In addition, the thesis compares the application with similar commercial product SAS Enterprise Miner
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Data Independency of the FIT-Miner Data Mining System
Novák, Ondřej ; Šebek, Michal (referee) ; Zendulka, Jaroslav (advisor)
System for data mining Fit-Miner is now dependant on only one specific DBMS. This master’s thesis deals with analysis of implementation that works with database, modules and functions for data mining. Next it shows the set of changes which will allow FIT-Miner to work with another DBMS. And finally, a description of the implementation of these changes.
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Data Mining Module of a Data Mining System on NetBeans Platform
Výtvar, Jaromír ; Křivka, Zbyněk (referee) ; Zendulka, Jaroslav (advisor)
The aim of this work is to get basic overview about the process of obtaining knowledge from databases - datamining and to analyze the datamining system developed at FIT BUT on the NetBeans platform in order to create a new mining module. We decided to implement a module for mining outliers and to extend existing regression module with multiple linear regression using generalized linear models. New methods using existing methods of Oracle Data Mining.
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