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Enterprise Information Systems pp 137–152Cite as

Exploring Similarity Relations According to Different Contexts in Mining Generalized Association Rules

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 141))

Abstract

Taxonomies are used in different steps of the mining process, but in the generalization they are mainly used during the pre-processing. In the same way, in fuzzy contexts fuzzy taxonomies are also used, mainly, in the pre-processing step, which is the generation of extended transactions. Besides, it is possible to see that many works have explored mining fuzzy rules and linguistic terms, but few works have explored different steps of the mining process. Moreover, questions like semantic enrichment of the rules have been little explored. In this sense, this work presents Context FOntGAR algorithm, which is an algorithm for mining generalized association rules under all levels of fuzzy concept ontologies. Besides, the exploring of rules containing similarity relations according to different contexts will be introduced. In this work the generalization is done during the post-processing step. Other relevant points are the specification of a generalization approach; including a grouping rules treatment, and an efficient way of calculating both support and confidence of generalized rules.

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Authors and Affiliations

  1. Department of Computer Science, Federal University of Sao Carlos, Rod. Washington Luis, Sao Carlos, Brazil

    Rodrigo Moura Juvenil Ayres & Marilde Terezinha Prado Santos

Authors
  1. Rodrigo Moura Juvenil Ayres
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  2. Marilde Terezinha Prado Santos
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Correspondence to Rodrigo Moura Juvenil Ayres .

Editor information

Editors and Affiliations

  1. Institute for Systems and Technologies of Information, Control and Communication, Setúbal, Portugal

    José Cordeiro

  2. Instituto Politécnico de Setúbal, Setúbal, Portugal

    Leszek A. Maciaszek

  3. Wroclaw University of Economics, Wroclaw, Poland

    Joaquim Filipe

  4. Macquarie University, Sydney, Australia

    José Cordeiro

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Ayres, R.M.J., Santos, M.T.P. (2013). Exploring Similarity Relations According to Different Contexts in Mining Generalized Association Rules. In: Cordeiro, J., Maciaszek, L.A., Filipe, J. (eds) Enterprise Information Systems. Lecture Notes in Business Information Processing, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40654-6_9

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  • DOI: https://doi.org/10.1007/978-3-642-40654-6_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40653-9

  • Online ISBN: 978-3-642-40654-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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