2016 IEEE International Conference on Big Data Analysis (ICBDA 2016) : Hangzhou, China, 12-14 March 2016 / / Institute of Electrical and Electronics Engineers

• Pubblicazione: Piscataway, New Jersey : , : IEEE, , [2016]; ©2016
• Descrizione fisica: 1 online resource (344 pages) : illustrations
• Disciplina: 005.7
• Soggetto topico: Big data; Data mining
• Sommario/riassunto: Big Data overall architecture consists of three layers data storage, data processing and data analysis Data storage layer stores complex type and mass data, data processing layer realizes real time processing of massive data, and only through data analysis layer, smart, in depth and valuable information are got When talking about big data, it comes to the first is 4V characteristics of big data, namely Volumes, Variety, Velocity, Veracity Big data processing key technology generally includes data acquisition, data preprocessing, data storage and data management, data analysis and mining, big show and application (big data retrieval, data visualization, big data applications, data security, etc ) In recent years, Big Data has become a new ubiquitous term Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself The 2016 IEEE International Conference on Big Data Analysis (ICBDA 2016) provides a leading forum for diss.
• Altri titoli varianti: 2016 IEEE International Conference on Big Data Analysis
• Titolo autorizzato: 2016 IEEE International Conference on Big Data Analysis (ICBDA 2016)
• ISBN: 1-4673-9591-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996279477503316
• Lo trovi qui: Univ. di Salerno