Inductive Fuzzy Classification in Marketing Analytics (Hardcover, 2014 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Fuzzy Management Methods
Release date:	June 2014
First published:	2014
Authors:	Michael Kaufmann
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Hardcover
Pages:	125
Edition:	2014 ed.
ISBN-13:	978-3-319-05860-3
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-319-05860-6
Barcode:	9783319058603

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