Faculty of Information Technology, BUT

Publication Details

Mining Data Streams Approach for Text-Trend Analysis

ŠEBEK Michal. Mining Data Streams Approach for Text-Trend Analysis. In: Proceedings of the 16th Conference Student EEICT 2010 Volume 5. Brno: Faculty of Information Technology BUT, 2010, pp. 201-205. ISBN 978-80-214-4080-7.
Czech title
Přístup dolování v proudech dat pro analýzu trendů v textech
Type
conference paper
Language
english
Authors
Šebek Michal, Ing. (DIFS FIT BUT)
URL
Keywords
data mining, mining in data streams, topic modeling,  document corpora, trend analysis
Abstract
This paper deals with a trend recognition in textural data. We summarize approaches to mining in data streams as an approach for time-varying analysis and methods for document corpora description. This paper also introduces a system for recognition of phrase time-trend in research papers and discusses recognition results.
Published
2010
Pages
201-205
Proceedings
Proceedings of the 16th Conference Student EEICT 2010 Volume 5
Conference
Student EEICT 2010, Brno, CZ
ISBN
978-80-214-4080-7
Publisher
Faculty of Information Technology BUT
Place
Brno, CZ
BibTeX
@INPROCEEDINGS{FITPUB9217,
   author = "Michal \v{S}ebek",
   title = "Mining Data Streams Approach for Text-Trend Analysis",
   pages = "201--205",
   booktitle = "Proceedings of the 16th Conference Student EEICT 2010 Volume 5",
   year = 2010,
   location = "Brno, CZ",
   publisher = "Faculty of Information Technology BUT",
   ISBN = "978-80-214-4080-7",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9217"
}
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