Advanced Methods for Knowledge Discovery from Complex Data

Advanced Methods for Knowledge Discovery from Complex Data brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery, where the information is mined from complex data, such as unstructured text from the world-wide...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Maulik, Ujjwal (Editor ), Holder, Lawrence B. (Editor ), Cook, Diane J. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Advanced Information and Knowledge Processing,
Temas:
Artificial intelligence.
Database management.
Information storage and retrieval systems.
Pattern recognition systems.
Algorithms.
Computer vision.
Artificial Intelligence.
Database Management.
Information Storage and Retrieval.
Automated Pattern Recognition.
Computer Vision.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Foundations
  • Knowledge Discovery and Data Mining
  • Automatic Discovery of Class Hierarchies via Output Space Decomposition
  • Graph-based Mining of Complex Data
  • Predictive Graph Mining with Kernel Methods
  • TreeMiner: An Efficient Algorithm for Mining Embedded Ordered Frequent Trees
  • Sequence Data Mining
  • Link-based Classification
  • Applications
  • Knowledge Discovery from Evolutionary Trees
  • Ontology-Assisted Mining of RDF Documents
  • Image Retrieval using Visual Features and Relevance Feedback
  • Significant Feature Selection Using Computational Intelligent Techniques for Intrusion Detection
  • On-board Mining of Data Streams in Sensor Networks
  • Discovering an Evolutionary Classifier over a High-speed Nonstatic Stream.

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