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Authors: Leandro Krug Wives 1 ; Stanley Loh 2 and José Palazzo Moreira de Oliveira 1

Affiliations: 1 Instituto de Informática – UFRGS, Brazil ; 2 Escola de Informática - UCPEL; Universidade Luterana do Brasil (ULBRA), Brazil

Abstract: People have plenty of information at their disposal. The problem is that, even with the advent of search engines, it is still complex to analyze, understand and select relevant information. In this sense, clustering techniques sound very promising, grouping related information in an organized way. This paper address some problems of the existing document clustering techniques and present the “best star” algorithm, which can be used to group and understand chunks of information and find the most relevant ones.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Krug Wives, L.; Loh, S. and Palazzo Moreira de Oliveira, J. (2008). A Comparative Study of Clustering versus Classification over Reuters Collection. In Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems (ICEIS 2008) - PRIS; ISBN 978-989-8111-42-5, SciTePress, pages 231-236. DOI: 10.5220/0001736202310236

@conference{pris08,
author={Leandro {Krug Wives}. and Stanley Loh. and José {Palazzo Moreira de Oliveira}.},
title={A Comparative Study of Clustering versus Classification over Reuters Collection},
booktitle={Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems (ICEIS 2008) - PRIS},
year={2008},
pages={231-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001736202310236},
isbn={978-989-8111-42-5},
}

TY - CONF

JO - Proceedings of the 8th International Workshop on Pattern Recognition in Information Systems (ICEIS 2008) - PRIS
TI - A Comparative Study of Clustering versus Classification over Reuters Collection
SN - 978-989-8111-42-5
AU - Krug Wives, L.
AU - Loh, S.
AU - Palazzo Moreira de Oliveira, J.
PY - 2008
SP - 231
EP - 236
DO - 10.5220/0001736202310236
PB - SciTePress

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