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Aufsatz
Fast computation of concept lattices using data mining techniques
Abstract
We present a new algorithm called TITANIC for computing concept lattices. It is based on data mining techniques for computing frequent itemsets. The algorithm is experimentally evaluated and compared with B. Ganter's Next-Closure algorithm.
Citation
@article{urn:nbn:de:hebis:34-2009013026110,
author={Stumme, Gerd and Taouil, Rafik and Bastide, Yves and Pasquier, Nicolas and Lakhal, Lotfi},
title={Fast computation of concept lattices using data mining techniques},
year={2000}
}
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3000 Stumme, Gerd
3010 Taouil, Rafik
3010 Bastide, Yves
3010 Pasquier, Nicolas
3010 Lakhal, Lotfi
4000 Fast computation of concept lattices using data mining techniques / Stumme, Gerd
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<resource xsi:schemaLocation="http://datacite.org/schema/kernel-2.2 http://schema.datacite.org/meta/kernel-2.2/metadata.xsd"> 2009-01-30T13:07:37Z 2009-01-30T13:07:37Z 2000 urn:nbn:de:hebis:34-2009013026110 http://hdl.handle.net/123456789/2009013026110 243453 bytes application/pdf eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ 004 Fast computation of concept lattices using data mining techniques Aufsatz We present a new algorithm called TITANIC for computing concept lattices. It is based on data mining techniques for computing frequent itemsets. The algorithm is experimentally evaluated and compared with B. Ganter's Next-Closure algorithm. open access Stumme, Gerd Taouil, Rafik Bastide, Yves Pasquier, Nicolas Lakhal, Lotfi Extern Auch erschienen in: Bouzeghoub, Mokrane u.a. (Hrsg.): Proceedings of the 7th International Workshop on Knowledge Representation Meets Databases. Berlin. 2000 Formale Begriffsanalyse </resource>
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