Publication 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.
Czech title
Přístup dolování v proudech dat pro analýzu trendů v textech
Type
conference paper
Language
English
Authors
Šebek Michal, Ing., Ph.D.
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, FEKT VUT v Brně, CZ
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"
}
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