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Author: Maria Biryukov

Affiliation: University of Luxembourg, Luxembourg

ISBN: 978-989-674-011-5

Keyword(s): Topic detection, Topic clustering, Graph properties, Knowledge discovery in data bases.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Foundations of Knowledge Discovery in Databases ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems

Abstract: Detection of research topics in scientific publications has attracted a lot of attention in the past few years. In this paper we introduce and compare various metrics of topic ranking, which allow to distinguish between general and focused topic terms. We use DBLP as a testbed for our experiments.

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Paper citation in several formats:
Biryukov M. and (2009). TOPIC DETECTION IN BIBLIOGRAPHIC DATABASES.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009) ISBN 978-989-674-011-5, pages 236-242. DOI: 10.5220/0002332702360242

@conference{kdir09,
author={Maria Biryukov},
title={TOPIC DETECTION IN BIBLIOGRAPHIC DATABASES},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)},
year={2009},
pages={236-242},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002332702360242},
isbn={978-989-674-011-5},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)
TI - TOPIC DETECTION IN BIBLIOGRAPHIC DATABASES
SN - 978-989-674-011-5
AU - Biryukov, M.
PY - 2009
SP - 236
EP - 242
DO - 10.5220/0002332702360242

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