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Inductive Fuzzy Classification in Marketing Analytics

Language EnglishEnglish
Book Paperback
Book Inductive Fuzzy Classification in Marketing Analytics Michael Kaufmann
Libristo code: 14277643
Publishers Springer International Publishing AG, September 2016
To enhance marketing analytics, approximate and inductive reasoning can be applied to handle uncerta... Full description
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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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About the book

Full name Inductive Fuzzy Classification in Marketing Analytics
Language English
Binding Book - Paperback
Date of issue 2016
Number of pages 125
EAN 9783319381602
ISBN 3319381601
Libristo code 14277643
Weight 238
Dimensions 155 x 8 x 8
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