Big data, data mining and machine learning value creation for business leaders and practitioners

By:

Dean, Jared, 1978-

Material type: Text

TextSeries: Wiley & SAS business seriesPublication details: New Jersey Wiley 2014Description: xix,265p. illustrations ; 24 cmISBN:

9788126550906

Subject(s):

Additional physical formats: Online version:: High performance data mining and machine learningDDC classification:

658.05631 23 DE-B

LOC classification:

HD30.2 .D39 2014

Summary: "An expert guide to high performance computing architectures and how they relate to analytics and data miningWith 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"--

Item type:

Print List(s) this item appears in: List of books on Big Data

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Holdings
Item type	Home library	Collection	Shelving location	Call number	Materials specified	Status	Date due	Barcode
Print	OPJGU Sonepat- Campus	General Books	Main Library	658.05631 DE-B (Browse shelf(Opens below))		Available		140501

Includes bibliographical references (pages 247-251) and index.

"An expert guide to high performance computing architectures and how they relate to analytics and data miningWith 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"--

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