Data Streams Models and Algorithms /

In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. Data Streams: Models and Algorithms primarily discusses i...

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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, 2007.
Edición:1st ed. 2007.
Colección:Advances in Database Systems ; 31
Temas:
Data mining.
Artificial intelligence.
Database management.
Information storage and retrieval systems.
Multimedia systems.
Computer networks .
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Database Management.
Information Storage and Retrieval.
Multimedia Information Systems.
Computer Communication Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Introduction to Data Streams
  • On Clustering Massive Data Streams: A Summarization Paradigm
  • A Survey of Classification Methods in Data Streams
  • Frequent Pattern Mining in Data Streams
  • A Survey of Change Diagnosis Algorithms in Evolving Data Streams
  • Multi-Dimensional Analysis of Data Streams Using Stream Cubes
  • Load Shedding in Data Stream Systems
  • The Sliding-Window Computation Model and Results
  • A Survey of Synopsis Construction in Data Streams
  • A Survey of Join Processing in Data Streams
  • Indexing and Querying Data Streams
  • Dimensionality Reduction and Forecasting on Streams
  • A Survey of Distributed Mining of Data Streams
  • Algorithms for Distributed Data Stream Mining
  • A Survey of Stream Processing Problems and Techniques in Sensor Networks.

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