Learning from Data Streams Processing Techniques in Sensor Networks /

Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment. Sensors are equipped with capacities to store information in memory, process this information and communicate with their neighbors. Processing data streams generated from wireless sensor networks has...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Gama, João (Editor ), Gaber, Mohamed Medhat (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Temas:
Information storage and retrieval systems.
Computer networks .
Signal processing.
Telecommunication.
Artificial intelligence.
Information Storage and Retrieval.
Computer Communication Networks.
Signal, Speech and Image Processing .
Communications Engineering, Networks.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Overview
  • Sensor Networks: An Overview
  • Data Stream Processing
  • Data Stream Processing in Sensor Networks
  • Data Stream Management Techniques in Sensor Networks
  • Data Stream Management Systems and Architectures
  • Querying of Sensor Data
  • Aggregation and Summarization in Sensor Networks
  • Sensory Data Monitoring
  • Mining Sensor Network Data Streams
  • Clustering Techniques in Sensor Networks
  • Predictive Learning in Sensor Networks
  • Tensor Analysis on Multi-aspect Streams
  • Applications
  • Knowledge Discovery from Sensor Data for Security Applications
  • Knowledge Discovery from Sensor Data For Scientific Applications
  • TinyOS Education with LEGO MINDSTORMS NXT.

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