Inductive Fuzzy Classification in Marketing Analytics - Couverture rigide
Livre 2 sur 12: Fuzzy Management Methods
Synopsis
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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À propos de l?auteur
Michael Kaufmann is a computer scientist with specialization in analytics and machine learning. Currently he is working as a business analyst at FIVE Informatik, where he consults executive boards of small and medium enterprises. He was data architect at Swiss Mobiliar and a Data Warehouse Analyst at Post Finance. He is a postdoctoral researcher publishing scientific articles on applications of fuzzy classification. He got his degree of Doctor Scientiarum Informaticarum (Dr. sc. Inf.) in 2012 and his Master's and Bachelor's degrees in Computer Science in 2004 and 2005, respectively, from the University of Fribourg, Switzerland.
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Kaufmann:Inductive Fuzzy Classification (eng)
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Inductive Fuzzy Classification in Marketing Analytics
Edité par
Springer International Publishing Jun 2014, 2014
ISBN 10 : 3319058606
ISBN 13 : 9783319058603
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 148 pp. Englisch. N° de réf. du vendeur 9783319058603
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Inductive Fuzzy Classification in Marketing Analytics
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Palgrave Macmillan, 2014
ISBN 10 : 3319058606
ISBN 13 : 9783319058603
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Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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. N° de réf. du vendeur 24792560/12
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Inductive Fuzzy Classification in Marketing Analytics
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Springer International Publishing, 2014
ISBN 10 : 3319058606
ISBN 13 : 9783319058603
Neuf
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a solid foundation of fuzzy classification and inductive logic and their application in marketing Includes a case study of a real world application at a financial institute Visualizes the abstract concepts with numerous illustratio. N° de réf. du vendeur 4497395
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Inductive Fuzzy Classification in Marketing Analytics
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Inductive Fuzzy Classification in Marketing Analytics
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Inductive Fuzzy Classification in Marketing Analytics
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Etat : New. PRINT ON DEMAND pp. 148. N° de réf. du vendeur 18142274918
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Inductive Fuzzy Classification in Marketing Analytics
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Buch. Etat : Neu. Inductive Fuzzy Classification in Marketing Analytics | Michael Kaufmann | Buch | Fuzzy Management Methods | xx | Englisch | 2014 | Springer | EAN 9783319058603 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 105256775
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Inductive Fuzzy Classification in Marketing Analytics
Edité par
Springer, Palgrave Macmillan Jun 2014, 2014
ISBN 10 : 3319058606
ISBN 13 : 9783319058603
Neuf
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 148 pp. Englisch. N° de réf. du vendeur 9783319058603
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Inductive Fuzzy Classification in Marketing Analytics
Edité par
Springer International Publishing, 2014
ISBN 10 : 3319058606
ISBN 13 : 9783319058603
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319058603
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