Inductive Fuzzy Classification in Marketing Analytics (Record no. 51180)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03141nam a22006015i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-05861-0 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200420211749.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140604s2014 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319058610 |
| -- | 978-3-319-05861-0 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 650 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 658.05 |
| 100 1# - AUTHOR NAME | |
| Author | Kaufmann, Michael. |
| 245 10 - TITLE STATEMENT | |
| Title | Inductive Fuzzy Classification in Marketing Analytics |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XX, 125 p. 35 illus. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Fuzzy Management Methods, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | A Gradual Concept of Truth -- Fuzziness and Induction -- Analytics and Marketing -- Prototyping and Evaluation -- Precisiating Fuzziness by Induction. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-05861-0 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2014. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Business. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Marketing. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information technology. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Business |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical logic. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | E-commerce. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Business and Management. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | IT in Business. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Marketing. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical Logic and Formal Languages. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information Systems Applications (incl. Internet). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | e-Commerce/e-business. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2196-4130 |
| 912 ## - | |
| -- | ZDB-2-SBE |
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