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Multiple Data Tables Processing via One-Sided Concept Lattices

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Multimedia and Internet Systems: Theory and Practice

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 183))

Abstract

One-sided concept lattices introduce data mining method from the area of Formal Concept Analysis (FCA) for analysis of objects clusters according to the set of fuzzy attributes. Currently, most of the methods for creation of one-sided concept lattices process only data tables with one type of truth value structure. In this chapter we describe closure operator, which corresponds to the intersection of particular closure systems obtained from various object-attribute models with different types of attributes. Each particular closure system is defined via one-sided concept lattices approaches applicated for particular data tables.

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Correspondence to Peter Butka .

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Butka, P., Pócs, J., Pócsová, J., Sarnovský, M. (2013). Multiple Data Tables Processing via One-Sided Concept Lattices. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) Multimedia and Internet Systems: Theory and Practice. Advances in Intelligent Systems and Computing, vol 183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32335-5_9

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  • DOI: https://doi.org/10.1007/978-3-642-32335-5_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32334-8

  • Online ISBN: 978-3-642-32335-5

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