Librería: Bookmans, Tucson, AZ, Estados Unidos de America
EUR 34,39
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Good. Satisfaction 100% guaranteed.
Idioma: Inglés
Publicado por Cham, Springer International Publishing., 2016
ISBN 10: 3319318594 ISBN 13: 9783319318592
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
EUR 12,00
Cantidad disponible: 2 disponibles
Añadir al carritoXXI, 319 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 131,18
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 141,76
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 158,08
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 191,42
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 390.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 189,63
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 139,09
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 179,98
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 198,89
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 9.50x6.25x1.00 inches. In Stock.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 213,17
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 110,26
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing Jul 2016, 2016
ISBN 10: 3319318594 ISBN 13: 9783319318592
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 139,09
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis. 344 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2016
ISBN 10: 3319318594 ISBN 13: 9783319318592
Librería: moluna, Greven, Alemania
EUR 118,61
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reviews the latest research and practice in data science and big dataDiscusses tools and techniques for big data storage and analyticsDescribes the frameworks relevant to data science, and their applicationProfessor Zaigham Ma.
Idioma: Inglés
Publicado por Springer, Springer Jul 2016, 2016
ISBN 10: 3319318594 ISBN 13: 9783319318592
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 139,09
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 201,00
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 390.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 200,23
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND pp. 390.