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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/1595

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Title: Towards a generalisation of formal concept analysis for data mining purposes
Author(s): Valverde-Albacete, Francisco J.
Peláez-Moreno, Carmen
Publisher: Springer Verlag
Issued date: 2006
Citation: Formal Concept Analysis. 4th International Conference, ICFCA 2006, Dresden, Germany, February 13-17, 2006. Proceedings. PP. 161-176
URI: http://hdl.handle.net/10016/1595
ISBN: 978-3-540-32203-0
ISSN: 0302-9743 [print]
1611-3349 [online]
DOI: 10.1007/11671404_11
Abstract: In this paper we justify the need for a generalisation of Formal Concept Analysis for the purpose of data mining and begin the synthesis of such theory. For that purpose, we first review semirings and semimodules over semirings as the appropriate objects to use in abstracting the Boolean algebra and the notion of extents and intents, respectively. We later bring to bear powerful theorems developed in the field of linear algebra over idempotent semimodules to try to build a Fundamental Theorem for K-Formal Concept Analysis, where K is a type of idempotent semiring. Finally, we try to put Formal Concept Analysis in new perspective by considering it as a concrete instance of the theory developed.
Review: PeerReviewed
Serie / Nº.: Lecture Notes on Computer Science
Volume 3874/2006
Publisher version: http://www.springerlink.com/content/711903163j132043/fulltext.pdf
Appears in Collections:DTSC - GPM - Capítulos de Monografías

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