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Books > Computing & IT > Applications of computing > Databases > Data mining
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Targeting Uplift - An Introduction to Net Scores (Hardcover, 1st ed. 2019)
Loot Price: R2,918
Discovery Miles 29 180
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Targeting Uplift - An Introduction to Net Scores (Hardcover, 1st ed. 2019)
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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.
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