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Big Data, Mining And Analytics
Click for related books: Stephan Kudyba

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Key Features
  • Includes a foreword by Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, MIT Cen
  • Introduces text mining and the transforming of unstructured data into useful information
  • Examines real time wireless medical data acquisition for today’s healthcare and data mining challeng
  • Presents the contributions of big data experts from academia and industry, including SAS
  • Highlights the most exciting emerging technologies for big data—Hadoop is just the beginning
Description

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. Filled with examples that illustrate the value of analytics throughout, the book outlines a conceptual framework for data modeling that can help you immediately improve your own analytics and decision-making processes. It also provides in-depth coverage of analyzing unstructured data with text mining methods to supply you with the well-rounded understanding required to leverage your information assets into improved strategic decision making

More Details About Big Data, Mining And Analytics
General Information
Author(s)Stephan Kudyba
PublisherTaylor & Francis
ISBN9781466568709
Pages325
BindingHardcover
LanguageEnglish
Publish YearJanuary 2014
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