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Towards a Generalisation of Formal Concept Analysis for Data Mining Purposes

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3874))

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 \(\mathcal{K}\)-Formal Concept Analysis , where \(\mathcal{K}\) 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.

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© 2006 Springer-Verlag Berlin Heidelberg

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Valverde-Albacete, F.J., Peláez-Moreno, C. (2006). Towards a Generalisation of Formal Concept Analysis for Data Mining Purposes. In: Missaoui, R., Schmidt, J. (eds) Formal Concept Analysis. Lecture Notes in Computer Science(), vol 3874. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671404_11

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  • DOI: https://doi.org/10.1007/11671404_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32203-0

  • Online ISBN: 978-3-540-32204-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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