Datum
2005Metadata
Zur Langanzeige
Preprint
Efficient mining of association rules based on formal concept analysis
Zusammenfassung
Association rules are a popular knowledge discovery technique for warehouse basket analysis. They indicate which items of the warehouse are frequently bought together. The problem of association rule mining has first been stated in 1993. Five years later, several research groups discovered that this problem has a strong connection to Formal Concept Analysis (FCA). In this survey, we will first introduce some basic ideas of this connection along a specific algorithm, TITANIC, and show how FCA helps in reducing the number of resulting rules without loss of information, before giving a general overview over the history and state of the art of applying FCA for association rule mining.
Zitieren
@article{urn:nbn:de:hebis:34-2009040826965,
author={Lakhal, Lotfi and Stumme, Gerd},
title={Efficient mining of association rules based on formal concept analysis},
year={2005}
}
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2009-04-08T13:58:53Z 2009-04-08T13:58:53Z 2005 urn:nbn:de:hebis:34-2009040826965 http://hdl.handle.net/123456789/2009040826965 223200 bytes application/pdf eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ 004 Efficient mining of association rules based on formal concept analysis Preprint Association rules are a popular knowledge discovery technique for warehouse basket analysis. They indicate which items of the warehouse are frequently bought together. The problem of association rule mining has first been stated in 1993. Five years later, several research groups discovered that this problem has a strong connection to Formal Concept Analysis (FCA). In this survey, we will first introduce some basic ideas of this connection along a specific algorithm, TITANIC, and show how FCA helps in reducing the number of resulting rules without loss of information, before giving a general overview over the history and state of the art of applying FCA for association rule mining. open access Lakhal, Lotfi Stumme, Gerd Auch erschienen in: Ganter, Bernhard u.a. (Hrsg.): Formal concept analysis. (Lecutre notes in computer science ; 3626). Berlin u.a. : Springer, 2005. S. 180-195. ISBN 3-540-27891-5 (The original publication is available at www.springerlink.com) Formale Begriffsanalyse Data Mining
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