Big data : algorithms, analytics, and applications /

Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, i...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Li, Kuan-Ching (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton [Florida] : CRC Press, Taylor & Francis Group, [2015]
Boston, Massachusetts : Credo Reference, 2016.
Edición:[Enhanced Credo edition].
Colección:Chapman & Hall/CRC big data series.
Temas:
Big data.
Database management.
Data mining.
Machine theory.
Data Mining
Données volumineuses.
Bases de données > Gestion.
Exploration de données (Informatique)
Théorie des automates.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering.
Descripción Física:1 online resource (35 entries) : 153 images.
Bibliografía:Includes bibliographical references.
ISBN:9781785398230
1785398237

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