Targeting Uplift Targeting Uplift

Targeting Uplift

An Introduction to Net Scores

Rene Michel und andere
    • 87,99 €
    • 87,99 €

Beschreibung des Verlags

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 marketingcontext. 

GENRE
Business und Finanzen
ERSCHIENEN
2019
9. September
SPRACHE
EN
Englisch
UMFANG
384
Seiten
VERLAG
Springer International Publishing
GRÖSSE
40,7
 MB

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