Conference paper

ŠEBEK Michal. Mining Data Streams Approach for Text-Trend Analysis. In: Proceedings of the 16th Conference Student EEICT 2010 Volume 5. Brno: Faculty of Information Technology BUT, 2010, pp. 201-205. ISBN 978-80-214-4080-7.
Publication language:english
Original title:Mining Data Streams Approach for Text-Trend Analysis
Title (cs):Přístup dolování v proudech dat pro analýzu trendů v textech
Pages:201-205
Proceedings:Proceedings of the 16th Conference Student EEICT 2010 Volume 5
Conference:Student EEICT 2010
Place:Brno, CZ
Year:2010
ISBN:978-80-214-4080-7
Publisher:Faculty of Information Technology BUT
URL:http://www.feec.vutbr.cz/EEICT/2010/sbornik/03-Doktorske_projekty/07-Informacni_systemy/12-xsebek00.pdf [PDF]
Keywords
data mining, mining in data streams, topic modeling,  document corpora, trend analysis
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Michal {\v{S}}ebek},
   title = {Mining Data Streams Approach for Text-Trend Analysis},
   pages = {201--205},
   booktitle = {Proceedings of the 16th Conference Student EEICT 2010 Volume
	5},
   year = {2010},
   location = {Brno, CZ},
   publisher = {Faculty of Information Technology BUT},
   ISBN = {978-80-214-4080-7},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9217}
}

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