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Big data, mining, and analytics : components of strategic decision making / Stephan Kudyba ; foreword by Thomas H. Davenport.

Colaborador(es): Tipo de material: TextoTextoDetalles de publicación: Boca Raton : Taylor & Francis, ©2014Edición: 1a ediciónDescripción: xv, 305 páginas : ilustraciones (algunas en color) ; 23 x 16 centímetrosTipo de contenido:
  • texto
Tipo de medio:
  • sin medio
Tipo de soporte:
  • volumen
ISBN:
  • 9781466568709 (hardback)
Tema(s): Clasificación LoC:
  • HD 30 .28 B59 2014
Recursos en línea:
Contenidos:
Introduction to the Big Data era-- Information creation through analytics -- Big Data analytics-architectures, implementation methodology, and tools -- Data mining methods and the rise of Big Data; -- Data management and the model creation process of structured data for mining and analytics -- The internet: a source of new data for mining in marketing -- Mining and analytics in E-Commerce -- Streaming data in the age of Big Data -- Using CEP for real-time data mining -- Transforming unstructured data into useful information -- Mining big textual data -- The new medical frontier: real-time wireless medical data acquisition for 21st-century healthcare and data mining challenges
Resumen: " There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data. Facilitating a clear understanding of big data, it supplies authoritative insights from expert contributors into leveraging data resources, including big data, to improve decision making. Illustrating basic approaches of business intelligence to the more complex methods of data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. " -- P. Web Editorial
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Incluye bibliografía: páginas 286-288 e índice

Introduction to the Big Data era-- Information creation through analytics -- Big Data analytics-architectures, implementation methodology, and tools -- Data mining methods and the rise of Big Data; -- Data management and the model creation process of structured data for mining and analytics -- The internet: a source of new data for mining in marketing -- Mining and analytics in E-Commerce -- Streaming data in the age of Big Data -- Using CEP for real-time data mining -- Transforming unstructured data into useful information -- Mining big textual data -- The new medical frontier: real-time wireless medical data acquisition for 21st-century healthcare and data mining challenges

" There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data. Facilitating a clear understanding of big data, it supplies authoritative insights from expert contributors into leveraging data resources, including big data, to improve decision making. Illustrating basic approaches of business intelligence to the more complex methods of data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. " -- P. Web Editorial

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