£76.42

Springer Targeting Uplift: An Introduction to Net Scores

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£76 today · all-time low £73 (Jun 2026) · usually £76

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£77.55 £72.58 £73.66 £74.75 £75.83 £76.92 £78.00 11 June 2026 03 July 2026 26 July 2026 17 August 2026 09 September 2026

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Description

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 Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 September 2019
Listed Since
09 May 2019

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