René Michel Igor Schnakenburg Tobias von Martens Michel Targeting Uplift

Targeting Uplift

von René Michel Igor Schnakenburg Tobias von Martens

An Introduction to Net Scores

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Beschreibung

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. 


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. 



The first book to present uplift modeling in a comprehensive and modern way Provides the theoretical background on net scoring methods, as well as guidelines for practical applications in real-world problems Features a chapter on software implementations of uplift modeling

Autor*in

René Michel

Themen in »Targeting Uplift«

net scoring uplift modelling incremental response personalized treatment learning campaign management enhanced scoring scoring algorithm applications of net scoring in markerting software implementation of net scoring algorithms gross scoring predictive modelling

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Details

ISBN: 9783030226244
Verlag: Springer International Publishing
Erscheinung: 20.09.2019

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