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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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Utilization of Multiple Level Association Rules in an e-Shop
Králík, Michael ; Šebek, Michal (referee) ; Bartík, Vladimír (advisor)
This thesis deals with design and implementation of a complete information system for the needs of electronic shop, where multiple level association rules will be used for data mining. The information system will include warehouse management, automated order processing, payment management, tax records and display various statistics. Technologies such as HTML, Latte, CSS, JavaScript, Nette Framework, PHP and MySQL were used to implement this system.
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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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|
|
Utilization of Multiple Level Association Rules in an e-Shop
Králík, Michael ; Šebek, Michal (referee) ; Bartík, Vladimír (advisor)
This thesis deals with design and implementation of a complete information system for the needs of electronic shop, where multiple level association rules will be used for data mining. The information system will include warehouse management, automated order processing, payment management, tax records and display various statistics. Technologies such as HTML, Latte, CSS, JavaScript, Nette Framework, PHP and MySQL were used to implement this system.
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