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DMIN
2006
108views Data Mining» more  DMIN 2006»
11 years 2 months ago
Sequential and Parallel Rule Extraction from a Concept Lattice
This paper presents enhancements to previous algorithms for the sequential extraction of complete non-redundant set of rules from a concept lattice. The aim of these enhancements i...
Guillermo Tonsmann
ICFCA
2007
Springer
11 years 7 months ago
A Parameterized Algorithm for Exploring Concept Lattices
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
Peggy Cellier, Sébastien Ferré, Oliv...
EMNLP
2010
10 years 11 months ago
Hierarchical Phrase-Based Translation Grammars Extracted from Alignment Posterior Probabilities
We report on investigations into hierarchical phrase-based translation grammars based on rules extracted from posterior distributions over alignments of the parallel text. Rather ...
Adrià de Gispert, Juan Pino, William J. Byr...
DIS
2008
Springer
11 years 3 months ago
Constructing Iceberg Lattices from Frequent Closures Using Generators
Frequent closures (FCIs) and generators (FGs) as well as the precedence relation on FCIs are key components in the definition of a variety of association rule bases. Although their...
Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, R...
CLA
2004
11 years 2 months ago
A Semi-automatic Method to Ontology Design by Using FCA
Ontology design is a complex and time-consuming process. It is extremely difficult for human experts to discover ontology from given data or texts. This paper presents a semi-autom...
Hele-Mai Haav
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