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Mining ideas from textual information

Dirk Thorleuchter UGent, Dirk Van den Poel UGent and Anita Prinzie UGent (2010) EXPERT SYSTEMS WITH APPLICATIONS. 37(10). p.7182-7188
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Text classification, Idea mining, Text mining, Technology
journal title
EXPERT SYSTEMS WITH APPLICATIONS
Expert Syst. Appl.
volume
37
issue
10
pages
7182 - 7188
Web of Science type
Article
Web of Science id
000279408200053
JCR category
ENGINEERING, ELECTRICAL & ELECTRONIC
JCR impact factor
1.924 (2010)
JCR rank
48/247 (2010)
JCR quartile
1 (2010)
ISSN
0957-4174
DOI
10.1016/j.eswa.2010.04.013
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1162150
handle
http://hdl.handle.net/1854/LU-1162150
date created
2011-02-21 12:59:24
date last changed
2015-06-17 09:26:38
@article{1162150,
  author       = {Thorleuchter, Dirk and Van den Poel, Dirk and Prinzie, Anita},
  issn         = {0957-4174},
  journal      = {EXPERT SYSTEMS WITH APPLICATIONS},
  keyword      = {Text classification,Idea mining,Text mining,Technology},
  language     = {eng},
  number       = {10},
  pages        = {7182--7188},
  title        = {Mining ideas from textual information},
  url          = {http://dx.doi.org/10.1016/j.eswa.2010.04.013},
  volume       = {37},
  year         = {2010},
}

Chicago
Thorleuchter, Dirk, Dirk Van den Poel, and Anita Prinzie. 2010. “Mining Ideas from Textual Information.” Expert Systems with Applications 37 (10): 7182–7188.
APA
Thorleuchter, D., Van den Poel, D., & Prinzie, A. (2010). Mining ideas from textual information. EXPERT SYSTEMS WITH APPLICATIONS, 37(10), 7182–7188.
Vancouver
1.
Thorleuchter D, Van den Poel D, Prinzie A. Mining ideas from textual information. EXPERT SYSTEMS WITH APPLICATIONS. 2010;37(10):7182–8.
MLA
Thorleuchter, Dirk, Dirk Van den Poel, and Anita Prinzie. “Mining Ideas from Textual Information.” EXPERT SYSTEMS WITH APPLICATIONS 37.10 (2010): 7182–7188. Print.