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Titlebook: Inductive Fuzzy Classification in Marketing Analytics; Michael Kaufmann Book 2014 Springer International Publishing Switzerland 2014 Data

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11#
發(fā)表于 2025-3-23 12:18:40 | 只看該作者
Michael Kaufmann the units used for clinical laboratory tests would be those in common use in the United States, (3) the programs would be simple and easily understood and employ no exotic tricks that were not easily transported across computers, (4) references to the literature would be provided to allow the clini
12#
發(fā)表于 2025-3-23 17:45:40 | 只看該作者
13#
發(fā)表于 2025-3-23 18:32:10 | 只看該作者
Michael Kaufmannauch Personalabbau gerne eigene Aufgabenstellungen an die kreativ Schaffenden ab. Um diese neuen Aufgaben und T?tigkeiten jedoch erfolgreich und effizient ausführen zu k?nnen, ist es besonders für die Autoren, Zeichner, Designer etc. wichtig, ein gutes Grundwissen über Methoden, Zusammenh?nge und Te
14#
發(fā)表于 2025-3-24 01:48:24 | 只看該作者
15#
發(fā)表于 2025-3-24 05:21:57 | 只看該作者
Book 2014onstrates 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 B
16#
發(fā)表于 2025-3-24 08:46:19 | 只看該作者
Prototyping and Evaluation,hod was applied for prediction in several real-world datasets in order to analyze characteristics and optimal parameters of the constructed methodology and to compare it to conventional predictive approaches. Classical inductive statistical methods were applied to gain insights about induction by IFC.
17#
發(fā)表于 2025-3-24 14:14:48 | 只看該作者
Gradual Concept of Truth,ferent propositions or hypotheses can only be compared to each other with regard to their relative accuracy or predictive power. . is a term that describes vagueness in the form of boundary imprecision.
18#
發(fā)表于 2025-3-24 15:18:00 | 只看該作者
19#
發(fā)表于 2025-3-24 21:49:56 | 只看該作者
Fuzziness and Induction,classes. Finally, this chapter proposes a method to derive precise definitions of vague concepts—membership functions—from data. It develops a methodology for membership function induction using normalized likelihood comparisons, which can be applied to fuzzy classification of individuals.
20#
發(fā)表于 2025-3-24 23:54:13 | 只看該作者
2196-4130 orld application at a financial institute.Visualizes the absTo 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 campaign
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