Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners

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  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2014-06-16
  • Publisher: Wiley
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An expert guide to high performance computing architectures and how they relate to analytics and data mining

With the exponential growth of data comes an ever-increasing need to process and analyze so-called Big Data. High Performance Data Mining and Big Data Analytics provides a comprehensive view of the recent trend toward high performance computing architectures and its natural connection to analytics and data mining. You'll find coverage of topics including: big data, high performance computing for analytics, massively parallel processing (MPP) databases, in-memory analytics, implementation of machine learning algorithms for big data platforms, text analytics, analytics environments, the analytics lifecycle, general applications, as well as a variety of cases.

  • Offers coverage of business analytics, predictive modeling, and fact-based management
  • Includes case studies featuring multinational companies
  • Explores recent trends in high performance computing architectures relating to data mining

Filled with case studies, High Performance Data Mining and Big Data Analytics provides a thorough grounding for optimally putting data mining and big data analytics to work for your organization.

Author Biography

Jared Dean (Cary, NC) is Director of Research and Development at SAS Institute. He is responsible for all aspects of development in SAS' global data mining solutions. This includes customer engagements, new feature development, technical support, sales support, and product integration. Prior to joining SAS Dean worked as a Mathematical Statistician for the US Census Bureau.  He holds a MS degree in computational statistics from George Mason University.

Khosrow Hassibi (San Francisco) is a Principal, Advanced Analytics Solutions, at SAS Institute. Prior to SAS, he has spent most of his career in data mining software start-ups such as HNC Software and KXEN. He has world-class expertise in design/development/deployment of the state-of-the-art data mining and predictive analytics solutions in fraud, marketing, and risk. Hassibi has a Ph.D. in EECS from Case Western Reserve University with a special concentration in the areas of intelligent systems and machine learning and a certificate in “The Executive Program in Management” from UCLA Anderson Graduate School of Management.

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