Original title: Využití technik Data Mining v různých odvětvích
Translated title: Using Data Mining in Various Industries
Authors: Fabian, Jaroslav ; Novotný, Jakub (referee) ; Kříž, Jiří (advisor)
Document type: Master’s theses
Year: 2014
Language: slo
Publisher: Vysoké učení technické v Brně. Fakulta podnikatelská
Abstract: [slo] [eng]
Tato diplomová práce se zabývá využitím technik data miningu v oblastech bankovnictví, pojišťovnictví a nákupních center. Práce teoreticky popisuje algoritmy a metodologii CRISP-DM, která je určena pro procesy data miningu. Na základě teoretických poznatků a metod pak práce navrhuje možná řešení pro jednotlivá odvětví v rámci procesů business intelligence. This master’s thesis concerns about the use of data mining techniques in banking, insurance and shopping centres industries. The thesis theoretically describes algorithms and methodology CRISP-DM dedicated to data mining processes. With usage of theoretical knowledge and methods, the thesis suggests possible solution for various industries within business intelligence processes.
Keywords: associative rules; banking; BIDS; business intelligence; clustering; CRISP-DM; data mining; decision trees; insurance; KDD; Microsoft SQL Server; Microsoft Visual Studio; Naive Bayes; neural networks; shopping centre

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/32444

Permalink: http://www.nusl.cz/ntk/nusl-555915


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Master’s theses