Thesis Details

Dolování dat v prostředí DB serveru Oracle a MS SQL Serveru

Bachelor's Thesis Student: Opršal Martin Academic Year: 2007/2008 Supervisor: Stryka Lukáš, Ing.
English title
Data Mining on Oracle Database Server and MS SQL Server
Language
Czech
Abstract

This bachelor's thesis deals with issue of knowledge discovery in databases. This document isfocused in getting rules from relation databases based on Microsoft SQL server or Oracle Datamining server. The practical part of this document is about design applications that run on bothservers. These applications are programmed in asp.NET, C# for Microsoft SQL server and Java forOracle server.

Keywords

Knowledge discovery in data, data mining in database, association rules, Apriori, Bayes'sclassification, Clustering, Oracle Data Mining server 10.2, Oracle Data Mining server 11g, MicrosoftSQL 2005

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
10 June 2008
Reviewer
Committee
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT), předseda
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
Schwarz Josef, doc. Ing., CSc. (DCSY FIT BUT), člen
Citation
OPRŠAL, Martin. Dolování dat v prostředí DB serveru Oracle a MS SQL Serveru. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-10. Supervised by Stryka Lukáš. Available from: https://www.fit.vut.cz/study/thesis/6694/
BibTeX
@bachelorsthesis{FITBT6694,
    author = "Martin Opr\v{s}al",
    type = "Bachelor's thesis",
    title = "Dolov\'{a}n\'{i} dat v prost\v{r}ed\'{i} DB serveru Oracle a MS SQL Serveru",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/6694/"
}
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