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Bisociative Knowledge Discovery [[electronic resource] ] : An Introduction to Concept, Algorithms, Tools, and Applications / / edited by Michael R. Berthold



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Autore: Berthold Michael R Visualizza persona
Titolo: Bisociative Knowledge Discovery [[electronic resource] ] : An Introduction to Concept, Algorithms, Tools, and Applications / / edited by Michael R. Berthold Visualizza cluster
Pubblicazione: Cham, : Springer Nature, 2012
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Edizione: 1st ed. 2012.
Descrizione fisica: 1 online resource (IX, 485 p. 146 illus.)
Disciplina: 006.3/12
Soggetto topico: Artificial intelligence
Data mining
Application software
User interfaces (Computer systems)
Pattern recognition
Computer communication systems
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
User Interfaces and Human Computer Interaction
Pattern Recognition
Computer Communication Networks
Soggetto non controllato: Artificial Intelligence (incl. Robotics)
Data Mining and Knowledge Discovery
Information Systems Applications (incl. Internet)
User Interfaces and Human Computer Interaction
Pattern Recognition
Computer Communication Networks
Persona (resp. second.): BertholdMichael R
Note generali: Bibliographic Level Mode of Issuance: Monograph
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: Modern knowledge discovery methods enable users to discover complex patterns of various types in large information repositories. However, the underlying assumption has always been that the data to which the methods are applied originates from one domain.   The focus of this book, and the BISON project from which the contributions originate, is a network-based integration of various types of data repositories and the development of new ways to analyse and explore the resulting gigantic information networks. Instead of seeking well-defined global or local patterns, the aim was to find domain-bridging associations. These are particularly interesting if they are sparse and have not been encountered before.   The 32 contributions presented in this state-of-the-art survey, together with a detailed introduction to the book, are organized in topical sections on bisociation; representation and network creation; network analysis; exploration; and applications and evaluation.  .
Titolo autorizzato: Bisociative Knowledge Discovery  Visualizza cluster
ISBN: 3-642-31830-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996206991903316
Lo trovi qui: Univ. di Salerno
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Serie: Lecture Notes in Artificial Intelligence ; ; 7250