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Fuzzy Data Warehousing for Performance Measurement: Concept and Implementation: Fuzzy Management Methods

Autor Daniel Fasel
en Limba Engleză Paperback – 3 sep 2016
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.
 
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Specificații

ISBN-13: 9783319355818
ISBN-10: 3319355813
Pagini: 260
Ilustrații: XXIV, 236 p. 109 illus.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.37 kg
Ediția:Softcover reprint of the original 1st ed. 2014
Editura: Springer International Publishing
Colecția Springer
Seria Fuzzy Management Methods

Locul publicării:Cham, Switzerland

Cuprins

​Introduction.- Fundamental Concepts.- Fuzzy Data Warehouse.- Application of Fuzzy Data Warehouse.- Implementation.- Evaluation and Conclusion.

Notă biografică

Dr. Daniel Fasel is the founder, CEO and President of the Managerial Board at Scigility. Previously, he served as the first data scientist on the business intelligence team at Swisscom and was key in implementing NoSQL technologies for explorative analytics during his time there. Before focusing on data science and NoSQL technologies, he was a BI Engineer for the contract and customer field - a core component of the Swisscom Data Warehouse. He also served as a BI Architect and Administrator for the Oracle Hyperion Essbase cubes. In 2012, he received his Ph.D. in economics from the University of Fribourg.
 

Textul de pe ultima copertă

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.

Caracteristici

Presents an innovative approach for qualitative data analysis that is close to human reasoning A practical use case example explains how to integrate fuzzy concepts in existing data warehouses Provides a fuzzy data warehouse architecture overview using common open-source technologies