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

Author/creator Dean, Jared, 1978-
Format Electronic
Publication InfoHoboken, New Jersey : John Wiley and Sons, Inc., [2014]
Description1 online resource.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

SeriesWiley & SAS business series
Abstract "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.
General noteIncludes index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Dean, Jared, 1978- High performance data mining and machine learning Hoboken, New Jersey : John Wiley and Sons, Inc., [2014] 9781118618042
Genre/formElectronic books.
LCCN 2014009116
ISBN9781118920701 (epub)
ISBN9781118920695 (pdf)

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available