Managing and Mining Uncertain Data

Managing and Mining Uncertain Data contains surveys by well known researchers in the field of uncertain databases. The book presents the most recent models, algorithms, and applications in the uncertain data field in a structured and concise way. This book is organized so as to cover the most import...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Aggarwal, Charu C. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Advances in Database Systems ; 35
Temas:
Data mining.
Database management.
Artificial intelligence.
Information storage and retrieval systems.
Data protection.
Application software.
Data Mining and Knowledge Discovery.
Database Management.
Artificial Intelligence.
Information Storage and Retrieval.
Data and Information Security.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Introduction to Uncertain Data Algorithms and Applications
  • Models for Incomplete and Probabilistic Information
  • Relational Models and Algebra for Uncertain Data
  • Graphical Models for Uncertain Data
  • Trio A System for Data Uncertainty and Lineage
  • MayBMS A System for Managing Large Probabilistic Databases
  • Uncertainty in Data Integration
  • Sketching Aggregates over Probabilistic Streams
  • Probabilistic Join Queries in Uncertain Databases
  • Indexing Uncertain Data
  • Querying Uncertain Spatiotemporal Data
  • Probabilistic XML
  • On Clustering Algorithms for Uncertain Data
  • On Applications of Density Transforms for Uncertain Data Mining
  • Frequent Pattern Mining Algorithms with Uncertain Data
  • Probabilistic Querying and Mining of Biological Images.

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