Detail publikačního výsledku

Mining Data Streams Approach for Text-Trend Analysis

ŠEBEK, M.

Originální název

Mining Data Streams Approach for Text-Trend Analysis

Anglický název

Mining Data Streams Approach for Text-Trend Analysis

Druh

Stať ve sborníku mimo WoS a Scopus

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.

Anglický 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

Klíčová slova v angličtině

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

Autoři

ŠEBEK, M.

Vydáno

29.04.2010

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"
}