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Targeting Uplift
- An Introduction to Net Scores
Engelsk Paperback

Targeting Uplift

- An Introduction to Net Scores
Engelsk Paperback

803 kr
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Om denne bog

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. 



Product detaljer
Sprog:
Engelsk
Sider:
352
ISBN-13:
9783030226275
Indbinding:
Paperback
Udgave:
ISBN-10:
3030226271
Udg. Dato:
20 sep 2020
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
20 sep 2020
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