Thesis Details
Metody extrakce informace z textových dokumentů
Knowledge discovery in text documents is part of data mining. However, text documents have different properties in comparison to regular databases. This project contains an overview of methods for knowledge discovery in text documents. The most frequently used task in this area is document classification. Various approaches for text classification will be described. Finally, I will present algorithm Winnow that should perform better than any other algorithm for classification. There is a description of Winnow implementation and an overview of experimental results.
text documents, information extraction, knowledge discovery, classification, categorization, linear classification, Winnow, Balanced Winnow, Positive Winnow
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, prof. RNDr., CSc. (DITS FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Motyčka Arnošt, doc. Ing., CSc. (Mendelu), člen
Švéda Miroslav, prof. Ing., CSc. (DIFS FIT BUT), člen
@mastersthesis{FITMT4772,
author = "Tom\'{a}\v{s} Sychra",
type = "Master's thesis",
title = "Metody extrakce informace z textov\'{y}ch dokument\r{u}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2008,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/4772/"
}