• A lattice-based method for structural analysis 

      Casas Garriga, Gemma; Díaz López, Pablo; Balcázar Navarro, José Luis (2005-09)
      Report de recerca
      Accés obert
      In this paper we revisit the foundations of formal concept analysis for ordered contexts of [4]. From the theoretical point of view, the obtained lattice has proved to be a proper unifying framework for reasoning about ...
    • Characterization of concept lattices for ordered contexts 

      Casas Garriga, Gemma (2003-05)
      Report de recerca
      Accés obert
      The discovery of frequent sequential patterns in an ordered collection of data, such as sequential databases or time-series data, is an important issue in several contexts. In this paper, we employ formal concept analysis ...
    • Discovering unbounded episodes in sequential data 

      Casas Garriga, Gemma (2003-04)
      Report de recerca
      Accés obert
      One basic goal in the analysis of time-series data is to find frequent interesting episodes, i.e, collections of events occurring frequently together in the input sequence. Most widely-known work decide the interestingness ...
    • Frequent sets, sequences, and taxonomies: new, efficient algorithmic proposals 

      Baixeries i Juvillà, Jaume; Casas Garriga, Gemma; Balcázar Navarro, José Luis (2000-12)
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      Accés obert
      We describe efficient algorithmic proposals to approach three fundamental problems in data mining: association rules, episodes in sequences, and generalized association rules over hierarchical taxonomies. The association ...
    • Horn axiomatizations for sequential data 

      Balcázar Navarro, José Luis; Casas Garriga, Gemma (2005-09)
      Report de recerca
      Accés obert
      We propose a notion of deterministic association rules for ordered data. We prove that our proposed rules can be formally justified by a purely logical characterization, namely, a natural notion of empirical Horn approximation ...
    • Statistical strategies for pruning all the uninteresting association rules 

      Casas Garriga, Gemma (2003-04)
      Report de recerca
      Accés obert
      We propose a general framework to describe formally the problem of capturing the intensity of implication for association rules through statistical metrics. In this framework we present properties that influence ...