|
|
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.
|
|
|
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.
|
|
|
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.
|
|
|
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
|
|
|
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.
|
|
|
Data Mining in Oracle Server Environment
Pap, Juraj ; Kunc, Michael (referee) ; Zendulka, Jaroslav (advisor)
The goal of this thesis was to deal with the problem of data mining and finding out support in DB server Oracle subsequently. The project is aimed at mining of association rules. The result of this work is an application that an user can use for working with mining models, changing their options and using an GUI to show the mined association rules. The application uses the support of DB server Oracle.
|
|
|
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.
|
|
|
Cluster Analysis Module of a Data Mining System
Riedl, Pavel ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This master's thesis deals with development of a module for a data mining system, which is being developed on FIT. The first part describes the general knowledge discovery process and cluster analysis including cluster validation; it also describes Oracle Data Mining including algorithms, which it uses for clustering. At the end it deals with the system and the technologies it uses, such as NetBeans Platform and DMSL. The second part describes design of a clustering module and a module used to compare its results. It also deals with visualization of cluster analysis results and shows the achievements.
|
|
|
Data Mining in Oracle Server Environment
Pap, Juraj ; Kunc, Michael (referee) ; Zendulka, Jaroslav (advisor)
The goal of this thesis was to deal with the problem of data mining and finding out support in DB server Oracle subsequently. The project is aimed at mining of association rules. The result of this work is an application that an user can use for working with mining models, changing their options and using an GUI to show the mined association rules. The application uses the support of DB server Oracle.
|
|
|
Cluster Analysis Module of a Data Mining System
Riedl, Pavel ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
This master's thesis deals with development of a module for a data mining system, which is being developed on FIT. The first part describes the general knowledge discovery process and cluster analysis including cluster validation; it also describes Oracle Data Mining including algorithms, which it uses for clustering. At the end it deals with the system and the technologies it uses, such as NetBeans Platform and DMSL. The second part describes design of a clustering module and a module used to compare its results. It also deals with visualization of cluster analysis results and shows the achievements.
|
guest ::
