Publication detail

Mining Data Streams Approach for Text-Trend Analysis

ŠEBEK, M.

Original Title

Mining Data Streams Approach for Text-Trend Analysis

Type

article in a collection out of WoS and Scopus

Language

English

Original 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

Authors

ŠEBEK, M.

Released

29. 4. 2010

Publisher

Faculty of Information Technology BUT

Location

Brno

ISBN

978-80-214-4080-7

Book

Proceedings of the 16th Conference Student EEICT 2010 Volume 5

Pages from

201

Pages to

205

Pages count

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"
}