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Dolování asociačních pravidel z datových skladů / Association Rules Mining over Data Warehouses

This thesis deals with association rules mining over data warehouses. In the first part the reader will be familiarized with terms like knowledge discovery in databases and data mining. The following part of the work deals with data warehouses. Further the association analysis, the association rules, their types and mining possibilities are described. The architecture of Microsoft SQL Server and its tools for working with data warehouses are presented. The rest of the thesis includes description and analysis of the Star-miner algorithm, design, implementation and testing of the application.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:235501
Date January 2009
CreatorsHlavička, Ladislav
ContributorsChmelař, Petr, Stryka, Lukáš
PublisherVysoké učení technické v Brně. Fakulta informačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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