LDR | | 03333cmm u2200637Ii 4500 |
001 | | 000000311394 |
003 | | OCoLC |
005 | | 20230525142119 |
006 | | m o d |
007 | | cr ||||||||||| |
008 | | 170227s2017 enk ob 001 0 eng |
010 | |
▼a 2017009070 |
019 | |
▼a 982005698 |
020 | |
▼a 9780749479565
▼q (electronic bk.) |
020 | |
▼a 0749479566
▼q (electronic bk.) |
020 | |
▼z 9780749479558
▼q (alkaline paper) |
035 | |
▼a (OCoLC)974035744
▼z (OCoLC)982005698 |
037 | |
▼a EpubKoganPage6138
▼b Ingram Content Group |
040 | |
▼a DLC
▼b eng
▼e rda
▼e pn
▼c DLC
▼d OCLCO
▼d OCLCQ
▼d N$T
▼d YDX
▼d IDEBK
▼d EBLCP
▼d OCLCF
▼d YDX
▼d OCLCO
▼d NLE
▼d UAB
▼d N$T
▼d OCLCQ
▼d N$T
▼d OTZ
▼d OCLCQ
▼d K6U
▼d COO
▼d 248032 |
049 | |
▼a MAIN |
050 | 14 |
▼a HF5415.2
▼b .S787 2017 |
072 | 7 |
▼a BUS
▼x 082000
▼2 bisacsh |
072 | 7 |
▼a BUS
▼x 041000
▼2 bisacsh |
072 | 7 |
▼a BUS
▼x 042000
▼2 bisacsh |
072 | 7 |
▼a BUS
▼x 085000
▼2 bisacsh |
082 | 00 |
▼a 658.800285/63
▼2 23 |
100 | 1 |
▼a Struhl, Steven M.,
▼e author. |
245 | 10 |
▼a Artificial intelligence marketing and predicting consumer choice :
▼b an overview of tools and techniques /
▼c Steven Struhl. |
264 | 1 |
▼a London :
▼b Kogan Page Limited,
▼c 2017. |
264 | 4 |
▼c 짤2017 |
300 | |
▼a 1 online resource (xvi, 256 pages) |
336 | |
▼a text
▼b txt
▼2 rdacontent |
337 | |
▼a computer
▼b n
▼2 rdamedia |
338 | |
▼a online resource
▼b nc
▼2 rdacarrier |
504 | |
▼a Includes bibliographical references and index. |
505 | 0 |
▼a Preface -- Who should read this book and why? -- Getting the project going -- Conjoint, discrete choice and other trade-offs : let's do an experiment -- Creating the best, newest thing : discrete choice modelling -- Conjoint analysis and its uses -- Predictive models : via classifications that grow on trees -- Remarkable predictive models with Bayes Nets -- Putting it together : what to use when. |
506 | |
▼a Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk.
▼5 StEdNL |
520 | |
▼a The goal of Artificial Intelligence Marketing and Predicting Consumer Choice is to explain and contrast the widely differing approaches to predictive analytics and predicting consumer choice, in practical terms that are grounded in business reality. |
588 | 0 |
▼a Online resource; title from digital title page (viewed on April 17, 2017). |
590 | |
▼a eBooks on EBSCOhost
▼b All EBSCO eBooks |
650 | 0 |
▼a Marketing research. |
650 | 0 |
▼a Consumer behavior. |
650 | 0 |
▼a Artificial intelligence. |
650 | 7 |
▼a BUSINESS & ECONOMICS
▼x Industrial Management.
▼2 bisacsh |
650 | 7 |
▼a BUSINESS & ECONOMICS
▼x Management.
▼2 bisacsh |
650 | 7 |
▼a BUSINESS & ECONOMICS
▼x Management Science.
▼2 bisacsh |
650 | 7 |
▼a BUSINESS & ECONOMICS
▼x Organizational Behavior.
▼2 bisacsh |
650 | 7 |
▼a Artificial intelligence.
▼2 fast
▼0 (OCoLC)fst00817247 |
650 | 7 |
▼a Consumer behavior.
▼2 fast
▼0 (OCoLC)fst00876238 |
650 | 7 |
▼a Marketing research.
▼2 fast
▼0 (OCoLC)fst01010284 |
655 | 4 |
▼a Electronic books. |
856 | 40 |
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1494508 |
938 | |
▼a EBL - Ebook Library
▼b EBLB
▼n EBL4831192 |
938 | |
▼a EBSCOhost
▼b EBSC
▼n 1494508 |
938 | |
▼a ProQuest MyiLibrary Digital eBook Collection
▼b IDEB
▼n cis36602822 |
938 | |
▼a YBP Library Services
▼b YANK
▼n 13907792 |
990 | |
▼a 관리자 |