Inductive Fuzzy Classification in Marketing Analytics

Name: Inductive Fuzzy Classification in Marketing Analytics
Brand: Springer International Publishing AG
SKU: 9783319058603
Price: 551.47 RON
Availability: InStock

Autor: Michael Kaufmann

Limbă:

Legare: Copertă tare

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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551.47 lei

To enhance marketing analytics, approximate and inductive reasoning can be applied to handle uncerta...

Informații despre carte

Autor

Michael Kaufmann

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2014

Pagini

125

EAN

9783319058603

ISBN

3319058606

Enbook ID

02530102

Editura

Springer International Publishing AG

Greutate

3495

Dimensiuni

155 x 235 x 14

Descriere completă

To enhance marketing analytics, approximate and inductive reasoning can be applied to handle uncertainty in individual marketing models. This book demonstrates the use of fuzzy logic for classification and segmentation in marketing campaigns. Based on practical experience as a data analyst and on theoretical studies as a researcher, the author explains fuzzy classification, inductive logic and the concept of likelihood and introduces a blend of Bayesian and Fuzzy Set approaches, allowing reasonings on fuzzy sets that are derived by inductive logic. By application of this theory, the book guides the reader towards a gradual segmentation of customers which can enhance return on targeted marketing campaigns. The algorithms presented can be used for visualization, selection and prediction. The book shows how fuzzy logic can complement customer analytics by introducing fuzzy target groups. This book is for researchers, analytics professionals, data miners and students interested in fuzzy classification for marketing analytics.

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Inductive Fuzzy Classification in Marketing Analytics

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