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The Resource Predictive analytics, data mining and big data : myths, misconceptions and methods, Steven Finlay

Predictive analytics, data mining and big data : myths, misconceptions and methods, Steven Finlay

Label
Predictive analytics, data mining and big data : myths, misconceptions and methods
Title
Predictive analytics, data mining and big data
Title remainder
myths, misconceptions and methods
Statement of responsibility
Steven Finlay
Creator
Author
Subject
Language
eng
Summary
"Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts of data that they hold about people. This easy to read, in-depth guide provides readers with a solid understanding of predictive analytics, and how it should be applied to improve business decision making and operational efficiency. This includes how to avoid the pitfalls and dangers of introducing predictive analytics to a business area for the first time, legal, ethical and cultural issues that need to be considered, and a contextual road map for developing solutions that deliver real benefits to organizations. This how-to-guide will help managers to make the most of these technologies in their business area." --
Assigning source
Unedited summary from book
Cataloging source
CtWfDGI
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Predictive analytics, data mining and big data : myths, misconceptions and methods, Steven Finlay
Label
Predictive analytics, data mining and big data : myths, misconceptions and methods, Steven Finlay
Publication
Related Contributor
Related Location
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Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type code
txt
Content type MARC source
rdacontent
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781137379290&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4359770'}
Extent
1 online resource (xii, 248 pages)
Form of item
online
Isbn
9781137379290
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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