Fuzzy Data Warehousing for Performance Measurement (Record no. 51070)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02952nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-04226-8 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200420211747.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140228s2014 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319042268 |
| -- | 978-3-319-04226-8 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 650 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 658.05 |
| 100 1# - AUTHOR NAME | |
| Author | Fasel, Daniel. |
| 245 10 - TITLE STATEMENT | |
| Title | Fuzzy Data Warehousing for Performance Measurement |
| Sub Title | Concept and Implementation / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XXIV, 236 p. 109 illus. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Fuzzy Management Methods, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Introduction -- Fundamental Concepts -- Fuzzy Data Warehouse -- Application of Fuzzy Data Warehouse -- Implementation -- Evaluation and Conclusion. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The numeric values retrieved from a data warehouse may be difficult for business users to interpret, and may even be interpreted incorrectly. Therefore, in order to better understand numeric values, business users may require an interpretation in meaningful, non-numeric terms. However, if the transition between non-numeric terms is crisp, true values cannot be measured and a smooth transition between classes may no longer be possible.This book addresses this problem by presenting a fuzzy classification-based approach for a data warehouses. Moreover, it introduces a modeling approach for fuzzy data warehouses that makes it possible to integrate fuzzy linguistic variables in a meta-table structure. The essence of this structure is that fuzzy concepts can be integrated into the dimensions and facts of an existing classical data warehouse without affecting its core. This allows a simultaneous analysis, both fuzzy and crisp. A case study of a movie rental company underlines and exemplifies the proposed approach. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Data processing. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-04226-8 |
| 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 | |
| -- | Information technology. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Business |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computers. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 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 | |
| -- | Information Systems and Communication Service. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2196-4130 |
| 912 ## - | |
| -- | ZDB-2-SBE |
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