Thesis Details
Získávání znalostí z databází
This Bachelor work describes knowledge data discovery. There are in detail described methods of data mining in this text. This work is focusing principally on Associative rules method of knowledge data discovery, applying Apriory algorithm. The purpose of this work was to implement chosen method and verify its functionality on particular sample of data. Application is implemented in Java programming language and the sample of data, used for our method, is saved in XML file. Application doesnt work with classic database, but with XML file. Information needed to run the program is loaded from input (system) XML document. Discovered data are saved to system XML document.
Knowledge data discovery, knowledge, Data mining, association, rules, Association rules, Apriori, Apriori term, Java, XML
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Machalová Jitka, Mgr., Ph.D. (Mendelu), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
@bachelorsthesis{FITBT6702, author = "Ond\v{r}ej Jaro\v{s}", type = "Bachelor's thesis", title = "Z\'{i}sk\'{a}v\'{a}n\'{i} znalost\'{i} z datab\'{a}z\'{i}", school = "Brno University of Technology, Faculty of Information Technology", year = 2008, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/6702/" }