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Knowledge discovery from data streams /

Knowledge discovery from data streams /

Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing dat...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Gama, João
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : Chapman & Hall/CRC, ©2010.
Colección:Chapman & Hall/CRC data mining and knowledge discovery series.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents a coherent overview of state-of-the-art research in learning from data streams. The book covers the fundamentals that are imperative to understanding data streams and describes important applications, such as TCP/IP traffic, GPS data, sensor networks,
Descripción Física:1 online resource (xix, 237 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781439826126
1439826129
9781466533912
1466533919