Unstructured data analytics : : how to improve customer acquisition, customer retention, and fraud detection and prevention / / Jean Paul Isson ; foreword by Paul Zikopoulos.
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| Place / Publishing House: | Hoboken, New Jersey : : Wiley,, 2018. 2018 |
| Year of Publication: | 2018 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (435 pages) :; illustrations |
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5005317473 |
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(MiAaPQ)5005317473 (Au-PeEL)EBL5317473 (CaPaEBR)ebr11540545 (OCoLC)1028022728 |
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Isson, Jean Paul, author. Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention / Jean Paul Isson ; foreword by Paul Zikopoulos. Hoboken, New Jersey : Wiley, 2018. 2018 1 online resource (435 pages) : illustrations text rdacontent computer rdamedia online resource rdacarrier Includes bibliographical references at the end of each chapters and index. Description based on online resource; title from PDF title page (500, viewed April 14, 2018). Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. Industrial management Statistical methods. Business planning. Electronic books. Zikopoulos, Paul, writer of foreword. Print version: Isson, Jean Paul. Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention. Hoboken, New Jersey : Wiley, c2018 xxiii, 408 pages 9781119129752 ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5317473 Click to View |
| language |
English |
| format |
eBook |
| author |
Isson, Jean Paul, |
| spellingShingle |
Isson, Jean Paul, Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention / |
| author_facet |
Isson, Jean Paul, Zikopoulos, Paul, |
| author_variant |
j p i jp jpi |
| author_role |
VerfasserIn |
| author2 |
Zikopoulos, Paul, |
| author2_variant |
p z pz |
| author2_role |
TeilnehmendeR |
| author_sort |
Isson, Jean Paul, |
| title |
Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention / |
| title_sub |
how to improve customer acquisition, customer retention, and fraud detection and prevention / |
| title_full |
Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention / Jean Paul Isson ; foreword by Paul Zikopoulos. |
| title_fullStr |
Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention / Jean Paul Isson ; foreword by Paul Zikopoulos. |
| title_full_unstemmed |
Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention / Jean Paul Isson ; foreword by Paul Zikopoulos. |
| title_auth |
Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention / |
| title_new |
Unstructured data analytics : |
| title_sort |
unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention / |
| publisher |
Wiley, |
| publishDate |
2018 |
| physical |
1 online resource (435 pages) : illustrations |
| isbn |
9781119325505 9781119129752 |
| callnumber-first |
H - Social Science |
| callnumber-subject |
HD - Industries, Land Use, Labor |
| callnumber-label |
HD30 |
| callnumber-sort |
HD 230.215 I876 42018 |
| genre |
Electronic books. |
| genre_facet |
Electronic books. |
| url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5317473 |
| illustrated |
Illustrated |
| dewey-hundreds |
600 - Technology |
| dewey-tens |
650 - Management & public relations |
| dewey-ones |
658 - General management |
| dewey-full |
658.4033 |
| dewey-sort |
3658.4033 |
| dewey-raw |
658.4033 |
| dewey-search |
658.4033 |
| oclc_num |
1028022728 |
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Unstructured data analytics : how to improve customer acquisition, customer retention, and fraud detection and prevention / |
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