Formal methods for mining structured objects

In the field of knowledge discovery, graphs of concepts are an expressive and versatile modeling technique providing ways to reason about information implicit in a set of data. Interesting examples of this can be found under the mathematical theory of formal concept analysis, dedicated to the constr...

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Détails bibliographiques
Auteur principal: Garriga, Gemma
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2013.
Collection:Studies in Computational Intelligence 475
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Edition sous un autre format:• Formal methods for mining structured objects, Gemma C Garriga, Berlin, HeidelbergSpringer, 2013, 1 vol.(X-108 p.), Studies in Computational Intelligence, 978-3-642-36680-2
• Formal Methods for Mining Structured Objects, Texte imprimé, 9783642430633
• Formal Methods for Mining Structured Objects, Texte imprimé, 9783642366826
• Formal methods for mining structured objects, Gemma C Garriga, Berlin, HeidelbergSpringer, 2013, 1 vol.(X-108 p.), Studies in Computational Intelligence, 978-3-642-36680-2
Description
Résumé:In the field of knowledge discovery, graphs of concepts are an expressive and versatile modeling technique providing ways to reason about information implicit in a set of data. Interesting examples of this can be found under the mathematical theory of formal concept analysis, dedicated to the construction of a lattice of concepts by defining a Galois connection on a binary relationship. This book present such graph of concepts under the more complex case of data that comes in a set of structured objects; e.g. a set of sequences, trees or graphs. Nodes of this graph will represent patterns in the data and edges will correspond to relationships of specificity. From this combinatorial object results are derived such as a full characterization of  logical implications and closed partial orders. The results presented in this book are coupled with examples and empirical experiments that illustrate the derived theoretical contributions
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642366819
ISSN:1860-9503
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