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Predictive analytics, data mining an...
~
Finlay, Steven, (1969-)
Predictive analytics, data mining and big data : = myths, misconceptions and methods /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Predictive analytics, data mining and big data :/ by Steven Finlay.
Reminder of title:
myths, misconceptions and methods /
Author:
Finlay, Steven,
Description:
1 online resource.
Subject:
Big data. -
Online resource:
http://www.palgraveconnect.com/doifinder/10.1057/9781137379283
ISBN:
1137379286 (electronic bk.)
Predictive analytics, data mining and big data : = myths, misconceptions and methods /
Finlay, Steven,1969-
Predictive analytics, data mining and big data :
myths, misconceptions and methods /by Steven Finlay. - 1 online resource.
1. Introduction -- 2. Using Predictive Models -- 3. Analytics, Organization and Culture -- 4. The Value of Data -- 5. Ethics and Legislation -- 6. Types of Predictive Models -- 7. The Predictive Analytics Process -- 8. How to Build a Predictive Model -- 9. Text Mining and Social Network Analysis -- 10. Hardware, Software and All That Jazz.
"Predictive analytics, big data, and data mining are key topics for organizations who want to leverage the ever increasing amounts of data that organizations hold about their customers and other individuals. This in-depth guide provides readers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, the pitfalls and dangers, and a contextual road map for developing solutions that deliver benefits to their organizations. Written in an accessible way, this 'how-to-guide' will help managers to make the most of these technologies in their business area"--
ISBN: 1137379286 (electronic bk.)
Source: 711154Palgrave Macmillanhttp://www.palgraveconnect.comSubjects--Topical Terms:
981821
Big data.
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: HF5415.32 / .F56 2014
Dewey Class. No.: 658.8/3402856312
Predictive analytics, data mining and big data : = myths, misconceptions and methods /
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myths, misconceptions and methods /
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by Steven Finlay.
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1. Introduction -- 2. Using Predictive Models -- 3. Analytics, Organization and Culture -- 4. The Value of Data -- 5. Ethics and Legislation -- 6. Types of Predictive Models -- 7. The Predictive Analytics Process -- 8. How to Build a Predictive Model -- 9. Text Mining and Social Network Analysis -- 10. Hardware, Software and All That Jazz.
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"Predictive analytics, big data, and data mining are key topics for organizations who want to leverage the ever increasing amounts of data that organizations hold about their customers and other individuals. This in-depth guide provides readers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, the pitfalls and dangers, and a contextual road map for developing solutions that deliver benefits to their organizations. Written in an accessible way, this 'how-to-guide' will help managers to make the most of these technologies in their business area"--
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Description based on print version record.
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http://www.palgraveconnect.com/doifinder/10.1057/9781137379283
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