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Predictive analytics, data mining an...

Finlay, Steven, (1969-)

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Predictive analytics, data mining and big data : = myths, misconceptions and methods /

Record Type:	Electronic resources : 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.
[NT 15003449]:	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.
Subject:	Business planning - Data processing. -
Online resource:	http://link.springer.com/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:

721807
Business planning
--Data processing.Index Terms--Genre/Form:

542853
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 /
LDR:02203cmm a2200337Ii 4500 001 1950846
003 OCoLC
005 20140910115826.0
006 m o d
007 cr cnu---unuuu
008 231227s2014 enk o 000 0 eng d
020 $a 1137379286 (electronic bk.)
020 $a 9781137379283 (electronic bk.)
035 $a (OCoLC)881280063
035 $a ocn881280063
035 $a 1950846
037 $a 711154 $b Palgrave Macmillan $n http://www.palgraveconnect.com
040 $a UKPGM $b eng $e rda $e pn $c UKPGM $d OCLCF
049 $a TEFA
050 4 $a HF5415.32 $b .F56 2014
082 0 4 $a 658.8/3402856312 $2 23
100 1 $a Finlay, Steven, $d 1969- $3 1083593
245 1 0 $a Predictive analytics, data mining and big data : $b myths, misconceptions and methods / $c by Steven Finlay.
264 1 $a Basingstoke, Hampshire ; $a New York, NY : $b Palgrave Macmillan, $c 2014.
300 $a 1 online resource.
336 $a text $2 rdacontent
337 $a unmediated $2 rdamedia
338 $a volume $2 rdacarrier
505 0 $a 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.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Business planning $x Data processing. $3 721807
650 0 $a Consumer behavior $x Forecasting. $3 1599207
650 0 $a Consumer profiling. $3 780610
650 0 $a Data mining. $3 562972
650 0 $a Decision making $x Data processing. $3 752376
650 0 $a Management $x Data processing. $3 645905
650 7 $a BUSINESS & ECONOMICS / Consumer Behavior. $2 bisacsh $3 1600147
650 7 $a BUSINESS & ECONOMICS / Development / General. $2 bisacsh $3 1598503
650 7 $a BUSINESS & ECONOMICS / Knowledge Capital. $2 bisacsh $3 1599879
650 7 $a BUSINESS & ECONOMICS / Marketing / Research. $2 bisacsh $3 2004519
650 7 $a BUSINESS & ECONOMICS / Strategic Planning. $2 bisacsh $3 1598725
650 0 $a Big data. $3 2045508
655 7 $a Electronic books. $2 lcsh $3 542853
710 2 $a Palgrave Connect (Online service) $3 1081578
776 0 8 $i Print version: $a Finlay, Steven, 1969- $t Predictive analytics, data mining and big data $z 9781137379276 $w (DLC) 2014019747 $w (OCoLC)873985165
856 4 0 $3 Palgrave Connect $u http://link.springer.com/10.1057/9781137379283