Research anthology on big data analytics, architectures, and applications / editor Information Resources Management Association. .
Material type: TextLanguage: English Publisher: Hershey, Pensilvania : Engineering Science Reference, 2022Copyright date: ©2022Edition: Primera ediciónDescription: 1988 páginas : ilustraciones, gráficasContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9781668436622Subject(s): Administración de bases de datos -- Estrategia y técnica | Análisis de datos -- Estrategia y técnica | Big data -- Estrategia y técnica -- Industrias | Seguridad informática -- Innovaciones tecnológicas | Inteligencia de negocios -- Procesamiento electrónico de datosDDC classification: 005.7Item type | Current library | Collection | Call number | Copy number | Status | Notes | Date due | Barcode | Item holds |
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Recurso electrónico |
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Recursos de información electrónicos y digitales | 005.7 / R432 2022 (Browse shelf(Opens below)) | Ej.1 | Available (Sin restricciones) | Disponible en los Ipad Mini Ej.1 al Ej.13 y kindle 6 y 11 | LE00255 |
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Incluye índice y referencias bibliográficas.
Chapter 1. Understanding big data ; Chapter 2. Overview of big data and its visualization ; Chapter 3. Introduction of big data with analytics of big data ; Chapter 4. Introduction to big data and business analytics ; Chapter 8. Big data analytics and models ; Chapter 12. Decision framework for engaging cloud-based big data analytics vendors ; Chapter 19. Big data in railway O&M: a dependability approach ; Chapter 26. Big data and advance analytics: architecture, techniques, applications, and challenges ; Chapter 33. Big data analytics and mining for knowledge discovery ; Chapter 42. Social media big data analytics for demand forecasting: development and Case ; Chapter 47. Big data analytics in healthcare sector ; Chapter 53. Big data for satellite image processing: analytics, tools, modeling, and challenges ; Chapter 56. A study of big data processing for sentiments analysis ; Chapter 61. Big data analytics in higher education ; Chapter 65. Big data, data management, and business intelligence ; Chapter 73. Big data and IoT applications in real life environment ; Chapter 84. Big data technologies and management ; Chapter 91. A survey on comparison of performance analysis on a cloud-based big data framework ; Chapter 96. How big data transforms manufacturing industry: a review paper.
This complete reference source on big data analytics that offers the latest, innovative architectures and frameworks, as well as explores a variety of applications within various industries offering an international perspective on a variety of topics such as advertising curricula, driven supply chain, and smart cities. editor.
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