Joint European Conference on Machine Learning and Knowledge Discovery in Databases

ECML PKDD 2015: Machine Learning and Knowledge Discovery in Databases pp 227-231 | Cite as

Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing

  • Mehdi Kaytoue
  • Victor Codocedo
  • Aleksey Buzmakov
  • Jaume Baixeries
  • Sergei O. Kuznetsov
  • Amedeo Napoli
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9286)

Abstract

This article aims at presenting recent advances in Formal Concept Analysis (2010-2015), especially when the question is dealing with complex data (numbers, graphs, sequences, etc.) in domains such as databases (functional dependencies), data-mining (local pattern discovery), information retrieval and information fusion. As these advances are mainly published in artificial intelligence and FCA dedicated venues, a dissemination towards data mining and machine learning is worthwhile.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Mehdi Kaytoue
    • 1
  • Victor Codocedo
    • 1
  • Aleksey Buzmakov
    • 2
  • Jaume Baixeries
    • 3
  • Sergei O. Kuznetsov
    • 4
  • Amedeo Napoli
    • 2
  1. 1.Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205LyonFrance
  2. 2.LORIA (CNRS - Inria Nancy Grand Est - Université de Lorraine)Vandœuvre-lès-NancyFrance
  3. 3.Universitat Politècnica de CatalunyaBarcelonaSpain
  4. 4.National Research University Higher School of Economics (HSE)MoscowRussia

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