Targeting Uplift: An Introduction to Net Scores
by René Michel, Igor Schnakenburg and Tobias von Martens
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BookPal × TalezoTargeting Uplift
This book explores all relevant aspects of net scoring, also known as uplift modeling: a data mining approach used to analyze and predict the effects of a given treatment on a desired target variable for an individual observation. After discussing modern net score modeling methods, data preparation, and the assessment of uplift models, the book investigates software implementations and real-world scenarios. Focusing on the application of theoretical results and on practical issues of uplift modeling, it also includes a dedicated chapter on software solutions in SAS, R, Spectrum Miner, and KNIME, which compares the respective tools. This book also presents the applications of net scoring in various contexts, e.g. medical treatment, with a special emphasis on direct marketing and corresponding business cases. The target audience primarily includes data scientists, especially researchers and practitioners in predictive modeling and scoring, mainly, but not exclusively, in the marketing context.
Details
- Publisher
- Springer International Publishing
- Authors
- René Michel, Igor Schnakenburg, Tobias von Martens
- Format
- Paperback
- Published
- Sep 20, 2020
- ISBN-13
- 9783030226275
- Pages
- 352
- Printing
- Printed on demand
Targeting Uplift for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $96.79 | 12% off list |
| 50 – 99 | $95.69 | 13% off list |
| 100+ | $94.59 | 14% off list |
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Targeting Uplift: An Introduction to Net Scores
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