Isbn: 9783863593568 - predictive analytics and protection of massive data (3 resultados)

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  • Idioma: Inglés

    Editorial: Apprimus Verlag

    3863593561 / 9783863593568

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    EUR 39,00

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    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Predictive Analytics and Protection of Massive Data | Roland Amba Assam | Taschenbuch | Englisch | Apprimus Verlag | EAN 9783863593568 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

  • Idioma: Inglés

    Editorial: Apprimus Verlag Okt 2015, 2015

    3863593561 / 9783863593568

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The volume of data generated from human social interactions is breathtaking, data stemming from human sensors and wearables is on the rise, and soon, machines are poised to start interacting too. This data can be utilized to perform data analytics, which might expose valuable vivid patterns and knowledge that would be imperative to society. In this thesis, we present novel data mining predictive analytics solutions, ranging from location prediction through activity recognition to prediction in the medical domain. On the other hand, such data also contains huge volume of sensitive information that is raising serious privacy concerns. To mitigate such concerns, we present new enhanced privacy preserving data mining techniques to protect data. 324 pp. Englisch.…

  • Idioma: Inglés

    Editorial: Apprimus Verlag

    3863593561 / 9783863593568

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 39,00

    Envío por EUR 62,99 
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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The volume of data generated from human social interactions is breathtaking, data stemming from human sensors and wearables is on the rise, and soon, machines are poised to start interacting too. This data can be utilized to perform data analytics, which might expose valuable vivid patterns and knowledge that would be imperative to society. In this thesis, we present novel data mining predictive analytics solutions, ranging from location prediction through activity recognition to prediction in the medical domain. On the other hand, such data also contains huge volume of sensitive information that is raising serious privacy concerns. To mitigate such concerns, we present new enhanced privacy preserving data mining techniques to protect data.…