Result Details

Mining Data Streams Approach for Text-Trend Analysis

ŠEBEK, M. Mining Data Streams Approach for Text-Trend Analysis. Proceedings of the 16th Conference Student EEICT 2010 Volume 5. Brno: Faculty of Information Technology BUT, 2010. p. 201-205. ISBN: 978-80-214-4080-7.
Type
conference paper
Language
English
Authors
Šebek Michal, Ing., Ph.D., DIFS (FIT)
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.

Keywords

data mining, mining in data streams, topic modeling,  document corpora, trend analysis

URL
Published
2010
Pages
201–205
Proceedings
Proceedings of the 16th Conference Student EEICT 2010 Volume 5
Conference
Student EEICT 2010
ISBN
978-80-214-4080-7
Publisher
Faculty of Information Technology BUT
Place
Brno
BibTeX 
@inproceedings{BUT91244,
  author="Michal {Šebek}",
  title="Mining Data Streams Approach for Text-Trend Analysis",
  booktitle="Proceedings of the 16th Conference Student EEICT 2010 Volume 5",
  year="2010",
  pages="201--205",
  publisher="Faculty of Information Technology BUT",
  address="Brno",
  isbn="978-80-214-4080-7",
  url="http://www.feec.vutbr.cz/EEICT/2010/sbornik/03-Doktorske_projekty/07-Informacni_systemy/12-xsebek00.pdf"
}
Projects
Recognition and presentation of multimedia data, BUT, Vnitřní projekty VUT, FIT-S-10-2, 2010, start: 2010-04-01, end: 2010-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Departments
Department of Information Systems (DIFS)
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