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Big Data

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Chapter Description

Chapters & topics
i)
  • Introduction to Big Data Analytics
  • Representing Big Data with R and Rattle
  • Visualizing data characteristics
  • ii)
  • Modeling and Predictive Data Analysis
  • Applying appropriate mining techniques
  • iii)
  • Leveraging Analytics with RHadoop
  • Building a Recommendation Framework
  • vi) Mining Unstructured Data
  • Investigating business value within unstructured data
  • Implementing text mining and social network analysis
  • v)
  • Planning and Implementing a Complete Data Analytics Solution
  • Transforming business objectives to analytic projects
  • Implementing the analytics life cycle
  • Ensuring a Successful Data Analytics Solution
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