Compartir
Targeting Uplift: An Introduction to Net Scores (en Inglés)
René Michel
(Autor)
·
Igor Schnakenburg
(Autor)
·
Tobias Von Martens
(Autor)
·
Springer
· Tapa Dura
Targeting Uplift: An Introduction to Net Scores (en Inglés) - Michel, René ; Schnakenburg, Igor ; Von Martens, Tobias
$ 142.063
$ 236.771
Ahorras: $ 94.709
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Estados Unidos
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Viernes 16 de Agosto y el
Martes 27 de Agosto.
Lo recibirás en cualquier lugar de Argentina entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Targeting Uplift: An Introduction to Net Scores (en Inglés)"
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.