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Data streams: algorithms and applications

Data stream algorithms as an active research agenda emerged only over the past few years, even though the concept of making few passes over the data for performing computations has been around since the early days of Automata Theory. The data stream agenda now pervades many branches of Computer Scie...

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Detalles Bibliográficos
Autor principal: Muthukrishnan, S
Lenguaje:eng
Publicado: Now Publ. 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/2066112
Descripción
Sumario:Data stream algorithms as an active research agenda emerged only over the past few years, even though the concept of making few passes over the data for performing computations has been around since the early days of Automata Theory. The data stream agenda now pervades many branches of Computer Science including databases, networking, knowledge discovery and data mining, and hardware systems. Industry is in synch too, with Data Stream Management Systems (DSMSs) and special hardware to deal with data speeds. Even beyond Computer Science, data stream concerns are emerging in physics, atmospheric