Detail publikace

Mining Data Streams Approach for Text-Trend Analysis

ŠEBEK, M.

Originální název

Mining Data Streams Approach for Text-Trend Analysis

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

ŠEBEK, M.

Vydáno

29. 4. 2010

Nakladatel

Faculty of Information Technology BUT

Místo

Brno

ISBN

978-80-214-4080-7

Kniha

Proceedings of the 16th Conference Student EEICT 2010 Volume 5

Strany od

201

Strany do

205

Strany počet

5

URL

http://www.feec.vutbr.cz/EEICT/2010/sbornik/03-Doktorske_projekty/07-Informacni_systemy/12-xsebek00.pdf

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"
}