Inductive Fuzzy Classification in Marketing Analytics
Author:   Michael Kaufmann
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2014
ISBN:  

9783319381602


Pages:   125
Publication Date:   17 September 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Inductive Fuzzy Classification in Marketing Analytics


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Author:   Michael Kaufmann
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2014
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783319381602


ISBN 10:   3319381601
Pages:   125
Publication Date:   17 September 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

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Author Information

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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