It takes the average reader 2 hours and 7 minutes to read Inductive Fuzzy Classification in Marketing Analytics by Michael Kaufmann
Assuming a reading speed of 250 words per minute. Learn more
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...
Inductive Fuzzy Classification in Marketing Analytics by Michael Kaufmann is 125 pages long, and a total of 31,875 words.
This makes it 42% the length of the average book. It also has 39% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 54 minutes to read Inductive Fuzzy Classification in Marketing Analytics aloud.
Inductive Fuzzy Classification in Marketing Analytics is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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