Inductive Fuzzy Classification in Marketing Analytics

Michael Kaufmann (Autor)

Buch | Softcover

XX, 125 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2014
Springer International Publishing (Verlag)
978-3-319-38160-2 (ISBN)

Artikel merken

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.

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.

A Gradual Concept of Truth.- Fuzziness and Induction.- Analytics and Marketing.- Prototyping and Evaluation.- Precisiating Fuzziness by Induction.

Erscheinungsdatum	23.09.2016
Reihe/Serie	Fuzzy Management Methods
Zusatzinfo	XX, 125 p. 35 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
Themenwelt	Wirtschaft ► Allgemeines / Lexika
Schlagworte	business and management • business applications • Business mathematics and systems • Data Mining • data mining and knowledge discovery • E-commerce: business aspects • e-commerce/e-business • Expert systems / knowledge-based systems • Fuzzy classification • Fuzzy Set • Inductive Logic • Information Retrieval • information systems applications (incl. internet) • Internet Searching • IT in business • Marketing • Marketing analytics • Market Research • Mathematical logic and formal languages • Mathematical theory of computation • Sales and Marketing • Segmentation
ISBN-10	3-319-38160-1 / 3319381601
ISBN-13	978-3-319-38160-2 / 9783319381602
Zustand	Neuware