Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2016
Genre:	Wirtschaft / Recht
	Application software / B / Business and Management / Business applications / Business—Data processing / Data Mining / Data Mining and Knowledge Discovery / E-Commerce / e-Commerce and e-Business / E-commerce# business aspects / e-Commerce/e-business / Expert systems / knowledge-based systems / Information Retrieval / Information Systems Applications (incl. Internet) / Information Systems Applications (incl.Internet) / Information Technology / Internet searching / IT in Business / Management science / Market research / Marketing / Mathematical logic / Mathematical Logic and Formal Languages / Mathematical Logic and Foundations / Mathematical theory of computation / Sales & marketing mehr...
ISBN:	9783319381602
EAN-Code:	9783319381602
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Fuzzy Management Methods
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	238 gr
Seiten:	125
Illustration:	XX, 125 p. 35 illus., schwarz-weiss Illustrationen
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.