Bisociative Knowledge Discovery: An Introduction to Concept, Algorithms, Tools, and Applications (Lecture Notes in Artificial Intelligence / Subseries of Lecture Notes Computer Science, Band 7250)

Berthold, Michael R.:

ISBN 10: 3642318290 / ISBN 13: 9783642318290

Editore: Springer, 2012

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483 Seiten Sehr guter Zustand / very good condition. Mit Anschreiben des Verfassers an Joschka Fischer. 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 originales 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. ISBN 9783642318290 Sprache: Englisch Gewicht in Gramm: 734.

Codice articolo 1135767

Dati bibliografici

• Titolo: Bisociative Knowledge Discovery: An Introduction to Concept, Algorithms, Tools, and Applications (Lecture Notes in Artificial Intelligence / Subseries of Lecture Notes Computer Science, Band 7250)
• Editore: Springer
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3642318290
• ISBN 13: 9783642318290
• Rilegatura: Taschenbuch
• Edizione: Auflage: 2012.
• Condizione: Sehr gut
• Peso: 734 grammi
• Cataloghi dei venditori:
  • Naturwissenschaft

Descrizione articolo

Riassunto

The focus of this book, and the BISON project from which the contributions originate, is a network based integration of data repositories of a variety of types, and the development of new ways to analyse and explore the resulting gigantic information networks.

Dalla quarta di copertina

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.