Huang, A.; Milne, D. N.; Frank, E. & Witten, I. H.
(2009):
Clustering Documents Using a Wikipedia-Based Concept Representation..
In: PAKDD,
[Volltext]
[BibTeX][Endnote]
@inproceedings{conf/pakdd/HuangMFW09,
author = {Huang, Anna and Milne, David N. and Frank, Eibe and Witten, Ian H.},
title = {Clustering Documents Using a Wikipedia-Based Concept Representation.},
editor = {Theeramunkong, Thanaruk and Kijsirikul, Boonserm and Cercone, Nick and Ho, Tu Bao},
booktitle = {PAKDD},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
year = {2009},
volume = {5476},
pages = {628-636},
url = {http://dblp.uni-trier.de/db/conf/pakdd/pakdd2009.html#HuangMFW09},
isbn = {978-3-642-01306-5},
keywords = {background, clustering, knowledge, ontology, tm, wikipedia}
}
%0 = inproceedings
%A = Huang, Anna and Milne, David N. and Frank, Eibe and Witten, Ian H.
%B = PAKDD
%D = 2009
%I = Springer
%T = Clustering Documents Using a Wikipedia-Based Concept Representation.
%U = http://dblp.uni-trier.de/db/conf/pakdd/pakdd2009.html#HuangMFW09
Hotho, A.; Nürnberger, A. & Paaß, G.
(2005):
A Brief Survey of Text Mining.
In: LDV Forum - GLDV Journal for Computational Linguistics and Language Technology,
Ausgabe/Number: 1,
Vol. 20,
Erscheinungsjahr/Year: 2005.
Seiten/Pages: 19-62.
[Volltext] [BibTeX]
[Endnote]
@article{hotho-etal-ldv-2005,
author = {Hotho, Andreas and Nürnberger, Andreas and Paaß, Gerhard},
title = { A Brief Survey of Text Mining},
journal = {LDV Forum - GLDV Journal for Computational Linguistics and Language Technology},
year = {2005},
volume = {20},
number = {1},
pages = {19-62},
url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2005/hotho05TextMining.pdf},
issn = {0175-1336},
keywords = {2005, SumSchool06, mining, myown, ontology, overview, survey, text, tm}
}
%0 = article
%A = Hotho, Andreas and Nürnberger, Andreas and Paaß, Gerhard
%D = 2005
%T = A Brief Survey of Text Mining
%U = http://www.kde.cs.uni-kassel.de/hotho/pub/2005/hotho05TextMining.pdf
Hotho, A.; Maedche, A. & Staab, S.
(2001):
Text Clustering Based on Good Aggregations.
In: ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining,
Washington, DC, USA.
[Volltext]
[BibTeX][Endnote]
@inproceedings{658040,
author = {Hotho, Andreas and Maedche, Alexander and Staab, Steffen},
title = {Text Clustering Based on Good Aggregations},
booktitle = {ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
year = {2001},
pages = {607--608},
url = {http://portal.acm.org/citation.cfm?id=658040},
isbn = {0-7695-1119-8},
keywords = {2001, clustering, gruppenbildung, kmeans, myown, ontology, text, tm}
}
%0 = inproceedings
%A = Hotho, Andreas and Maedche, Alexander and Staab, Steffen
%B = ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining
%C = Washington, DC, USA
%D = 2001
%I = IEEE Computer Society
%T = Text Clustering Based on Good Aggregations
%U = http://portal.acm.org/citation.cfm?id=658040