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Autor(en): 
  • Michael Kaufmann
  • Inductive Fuzzy Classification in Marketing Analytics 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Juni 2014  
    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
    ISBN:  9783319058603 
    EAN-Code: 
    9783319058603 
    Verlag:  Springer International Publishing 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Fuzzy Management Methods  
    Dimensionen:  H 241 mm / B 160 mm / D 14 mm 
    Gewicht:  395 gr 
    Seiten:  148 
    Zus. Info:  HC runder Rücken kaschiert 
    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.
      



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