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Mining Multiple Level Association Rules
Nguyenová, Thanh Lam ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with multiple level association rules mining. The aim of this work is to focus on available algorithms for mining multiple level association rules and to implement an application with a graphical user interface that will demonstrate the functionality of these algorithms. Five algorithms based on the Apriori algorithm were chosen. Experiments with each algorithm were performed using the application and the results were compared and evaluated at the end of the thesis.
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Association Rule Mining
Šabatka, Ondřej ; Stryka, Lukáš (referee) ; Bartík, Vladimír (advisor)
This bachelor's thesis is concerned with the association rule mining. The first part is devoted to the explanation of data mining technology and theory, which are necessary pre-steps for getting acquainted with association analysis. The next part focuses on the association analysis itself and explains the principals of algorithm Apriori in detail. The last part of the thesis describes the implementation and testing of algorithm Apriori in the Java programming language.
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CRM System with Intelligent Making of Web Pages
Nesmelova, Antonina ; Volf, Tomáš (referee) ; Bartík, Vladimír (advisor)
The goal of this bachelor thesis is to design and consequently implement a CRM system in order to obtain the requests for automatic construction of webpages by means of CMS, which consists of modules. Obtaining of the requests has the form of an editable questionnaire and is extented to the supply of relevant modules using the associative rules generated by the Apriori algorithm. The system is implemented by using PHP language and the Nette framework.
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Mining Multiple Level Association Rules
Nguyenová, Thanh Lam ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with multiple level association rules mining. The aim of this work is to focus on available algorithms for mining multiple level association rules and to implement an application with a graphical user interface that will demonstrate the functionality of these algorithms. Five algorithms based on the Apriori algorithm were chosen. Experiments with each algorithm were performed using the application and the results were compared and evaluated at the end of the thesis.
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CRM System with Intelligent Making of Web Pages
Nesmelova, Antonina ; Volf, Tomáš (referee) ; Bartík, Vladimír (advisor)
The goal of this bachelor thesis is to design and consequently implement a CRM system in order to obtain the requests for automatic construction of webpages by means of CMS, which consists of modules. Obtaining of the requests has the form of an editable questionnaire and is extented to the supply of relevant modules using the associative rules generated by the Apriori algorithm. The system is implemented by using PHP language and the Nette framework.
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Association Rule Mining
Šabatka, Ondřej ; Stryka, Lukáš (referee) ; Bartík, Vladimír (advisor)
This bachelor's thesis is concerned with the association rule mining. The first part is devoted to the explanation of data mining technology and theory, which are necessary pre-steps for getting acquainted with association analysis. The next part focuses on the association analysis itself and explains the principals of algorithm Apriori in detail. The last part of the thesis describes the implementation and testing of algorithm Apriori in the Java programming language.
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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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