Thesis Details

Mining Association Rules

Bachelor's Thesis Student: Olivares Roza Daniel Academic Year: 2007/2008 Supervisor: Bartík Vladimír, Ing., Ph.D.
Czech title
Mining Association Rules
Language
English
Abstract

This BSc Project was performed during a study stay at the Faculty of Information Technolgy of the Brno University of Technology. The project deals with a topic of association rule mining. It contains description of the Apriori algorithm and its implementation. The algorithm was implemented in the PHP language. Some experiments concerning time complexity are also described in the thesis.

Keywords

Association rule, frequent itemset, data mining, PHP language.

Department
Department of Information Systems FIT BUT
Degree Programme
Shortterm study BSc., Field of Study Information Technology
Status
defended, grade E
Date
9 June 2008
Reviewer
Lukáš Roman, Ing., Ph.D.
Citation
OLIVARES, Roza. Mining Association Rules. Brno, 2008. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2008-06-09. Supervised by Bartík Vladimír. Available from: https://www.fit.vut.cz/study/thesis/7124/
BibTeX 
@bachelorsthesis{FITBT7124,
    author = "Daniel Roza Olivares",
    type = "Bachelor's thesis",
    title = "Mining Association Rules",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2008,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/7124/"
}

Theses

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