Thesis Details

Získávání znalostí z textových dat

Master's Thesis Student: Smékal Luděk Academic Year: 2006/2007 Supervisor: Bartík Vladimír, Ing., Ph.D.
English title
Knowledge Discovery in Text
Language
Czech
Abstract

This MSc Thesis handles with so-called data mining. Data mining is about obtaining some data or informations from databases, where these data or informations are not directly visible, but they are accessible by using special algorithms. This MSc Thesis mainly aims documents clasifying by selected method in scope of digital library. The selected method is based on sets of items called "itemsets method". This method extends Apriori algorithm application field originally designed for transaction databases processing and generation of sets of frequented items.

Keywords

data mining, transaction databases, itemset, classification, digital library, Apriori algorithm, method Itemsets, frequent Itemsets

Department
Department of Information Systems FIT BUT
Degree Programme
Electrical Engineering and Computer Science, Field of Study Computer Science and Engineering
Files
Status
defended, grade A
Date
23 February 2007
Reviewer
Burget Radek, doc. Ing., Ph.D.
Citation
SMÉKAL, Luděk. Získávání znalostí z textových dat. Brno, 2007. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2007-02-23. Supervised by Bartík Vladimír. Available from: https://www.fit.vut.cz/study/thesis/5824/
BibTeX 
@mastersthesis{FITMT5824,
    author = "Lud\v{e}k Sm\'{e}kal",
    type = "Master's thesis",
    title = "Z\'{i}sk\'{a}v\'{a}n\'{i} znalost\'{i} z textov\'{y}ch dat",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2007,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/5824/"
}

Theses

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