Exploració per autor "Casas Garriga, Gemma"
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A lattice-based method for structural analysis
Casas Garriga, Gemma; Díaz López, Pablo; Balcázar Navarro, José Luis (2005-09)
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Accés obertIn 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)
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Accés obertThe 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 obertOne 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)
Report de recerca
Accés obertWe 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 obertWe 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 obertWe 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 ...