Big data, data mining and machine learning : value creation for business leaders and practitioners / Jared Dean.

By:

Dean, Jared, 1978- [author]

Material type: Text

TextSeries: Wiley & SAS business seriesPublisher: Hoboken, New Jersey : John Wiley and Sons, Inc., [2014]Description: xix, 265 pages : illustrations ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781118618042 (hardback)

Subject(s):

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

658.05631 23 D.J.B

LOC classification:

HD30.2 .D39 2014

Other classification:

COM021030

Contents:

Hardware -- Distributed systems -- Analytical tools -- Predictive modeling -- Common predictive modeling techniques -- Segmentation -- Incremental response modeling -- Time series date mining -- Recommendation systems -- Text analytics -- Case study of a large U.S.-based financial services company -- Case study of a major health care provider -- Case study of a technology manufacturer -- Case study of online brand management -- Case study of mobile application recommendations -- Case study of a high-tech product manufacturer -- Looking to the future.

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"-- Provided by publisher.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Main library B5	Faculty of Engineering & Technology (Mechanical)	658.05631 D.J.B (Browse shelf(Opens below))	Available		00012525

engineering bookfair2016

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

Hardware --
Distributed systems --
Analytical tools --
Predictive modeling --
Common predictive modeling techniques --
Segmentation --
Incremental response modeling --
Time series date mining --
Recommendation systems --
Text analytics --
Case study of a large U.S.-based financial services company --
Case study of a major health care provider --
Case study of a technology manufacturer --
Case study of online brand management --
Case study of mobile application recommendations --
Case study of a high-tech product manufacturer --
Looking to the future.

"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"-- Provided by publisher.

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