Predictive analytics: the power to predict who will click, buy, lie, or die
"Predictive analytics unleashes the power of data. With this technology, computers literally learn from data how to predict future behaviors of individuals. In this updated and revised edition of Predictive Analytics, former Columbia University professor and Predictive Analytics World founder E...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, New Jersey
Wiley
[2016]
|
| Ausgabe: | Revised and updated edition |
| Schlagwörter: | |
| Links: | https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 |
| Zusammenfassung: | "Predictive analytics unleashes the power of data. With this technology, computers literally learn from data how to predict future behaviors of individuals. In this updated and revised edition of Predictive Analytics, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction. New material includes: - The Real Reason the NSA Wants Your Data: Automatic Suspect Discovery. A special sidebar in Chapter 2, "With Power Comes Responsibility," presumes--with much evidence--that the National Security Agency considers PA a strategic priority. Can the organization use PA without endangering civil liberties? - Dozens of new examples from Facebook, Hopper, Shell, Uber, UPS, the U.S. government, and more. The Central Tables' compendium of mini-case studies has grown to 182 entries, including breaking examples. - A much needed warning regarding bad science. Chapter 3, "The Data Effect," includes an in-depth section about an all-too-common pitfall, and how we avoid it, i.e., how to successfully tap data's potential without being fooled by random noise, ensuring sound discoveries are made. - Even more extensive Notes, updated and expanded to 70+ pages, now moved to an online PDF. Now located at www.predictivenotes.com, the Notes include citations and comments that cover the above new content, as well as new citations for many other topics"-- |
| Umfang: | 1 Online-Ressource (XXXI, 332 Seiten) Illustrationen |
| ISBN: | 9781119172536 9781119145684 9781119153658 |
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Datensatz im Suchindex
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| author | Siegel, Eric 1968- |
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| dewey-search | 303.49 |
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| discipline | Soziologie Wirtschaftswissenschaften |
| edition | Revised and updated edition |
| format | Electronic eBook |
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| publisher | Wiley |
| record_format | marc |
| spelling | Siegel, Eric 1968- Verfasser (DE-588)1052902154 aut Predictive analytics the power to predict who will click, buy, lie, or die Eric Siegel Revised and updated edition Hoboken, New Jersey Wiley [2016] © 2016 1 Online-Ressource (XXXI, 332 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier "Predictive analytics unleashes the power of data. With this technology, computers literally learn from data how to predict future behaviors of individuals. In this updated and revised edition of Predictive Analytics, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction. New material includes: - The Real Reason the NSA Wants Your Data: Automatic Suspect Discovery. A special sidebar in Chapter 2, "With Power Comes Responsibility," presumes--with much evidence--that the National Security Agency considers PA a strategic priority. Can the organization use PA without endangering civil liberties? - Dozens of new examples from Facebook, Hopper, Shell, Uber, UPS, the U.S. government, and more. The Central Tables' compendium of mini-case studies has grown to 182 entries, including breaking examples. - A much needed warning regarding bad science. Chapter 3, "The Data Effect," includes an in-depth section about an all-too-common pitfall, and how we avoid it, i.e., how to successfully tap data's potential without being fooled by random noise, ensuring sound discoveries are made. - Even more extensive Notes, updated and expanded to 70+ pages, now moved to an online PDF. Now located at www.predictivenotes.com, the Notes include citations and comments that cover the above new content, as well as new citations for many other topics"-- BUSINESS & ECONOMICS / Consumer Behavior bisacsh BUSINESS & ECONOMICS / Econometrics bisacsh BUSINESS & ECONOMICS / Marketing / General bisacsh Sozialwissenschaften Wirtschaft Social sciences / Forecasting Economic forecasting Prediction (Psychology) Social prediction Human behavior Data Mining (DE-588)4428654-5 gnd rswk-swf Verhalten (DE-588)4062860-7 gnd rswk-swf Wirtschaftsentwicklung (DE-588)4066438-7 gnd rswk-swf Prognose (DE-588)4047390-9 gnd rswk-swf Data Mining (DE-588)4428654-5 s Prognose (DE-588)4047390-9 s Wirtschaftsentwicklung (DE-588)4066438-7 s Verhalten (DE-588)4062860-7 s DE-604 Erscheint auch als Druck-Ausgabe, Paperback 978-1-119-14567-7 https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Siegel, Eric 1968- Predictive analytics the power to predict who will click, buy, lie, or die BUSINESS & ECONOMICS / Consumer Behavior bisacsh BUSINESS & ECONOMICS / Econometrics bisacsh BUSINESS & ECONOMICS / Marketing / General bisacsh Sozialwissenschaften Wirtschaft Social sciences / Forecasting Economic forecasting Prediction (Psychology) Social prediction Human behavior Data Mining (DE-588)4428654-5 gnd Verhalten (DE-588)4062860-7 gnd Wirtschaftsentwicklung (DE-588)4066438-7 gnd Prognose (DE-588)4047390-9 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4062860-7 (DE-588)4066438-7 (DE-588)4047390-9 |
| title | Predictive analytics the power to predict who will click, buy, lie, or die |
| title_auth | Predictive analytics the power to predict who will click, buy, lie, or die |
| title_exact_search | Predictive analytics the power to predict who will click, buy, lie, or die |
| title_full | Predictive analytics the power to predict who will click, buy, lie, or die Eric Siegel |
| title_fullStr | Predictive analytics the power to predict who will click, buy, lie, or die Eric Siegel |
| title_full_unstemmed | Predictive analytics the power to predict who will click, buy, lie, or die Eric Siegel |
| title_short | Predictive analytics |
| title_sort | predictive analytics the power to predict who will click buy lie or die |
| title_sub | the power to predict who will click, buy, lie, or die |
| topic | BUSINESS & ECONOMICS / Consumer Behavior bisacsh BUSINESS & ECONOMICS / Econometrics bisacsh BUSINESS & ECONOMICS / Marketing / General bisacsh Sozialwissenschaften Wirtschaft Social sciences / Forecasting Economic forecasting Prediction (Psychology) Social prediction Human behavior Data Mining (DE-588)4428654-5 gnd Verhalten (DE-588)4062860-7 gnd Wirtschaftsentwicklung (DE-588)4066438-7 gnd Prognose (DE-588)4047390-9 gnd |
| topic_facet | BUSINESS & ECONOMICS / Consumer Behavior BUSINESS & ECONOMICS / Econometrics BUSINESS & ECONOMICS / Marketing / General Sozialwissenschaften Wirtschaft Social sciences / Forecasting Economic forecasting Prediction (Psychology) Social prediction Human behavior Data Mining Verhalten Wirtschaftsentwicklung Prognose |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781119172536 |
| work_keys_str_mv | AT siegeleric predictiveanalyticsthepowertopredictwhowillclickbuylieordie |