A methodology for the design of a fuzzy data warehouse

Lior Sapir; Armin Shmilovici; Lior Rokach

doi:10.1109/IS.2008.4670400

A methodology for the design of a fuzzy data warehouse

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

A data warehouse is a special database used for storing business oriented information for future analysis and decision-making. In business scenarios, where some of the data or the business attributes are fuzzy, it may be useful to construct a warehouse that can support the analysis of fuzzy data. Here, we outline how Kimball's methodology for the design of a data warehouse can be extended to the construction of a fuzzy data warehouse. A case study demonstrates the viability of the methodology.

Original language	English
Title of host publication	2008 4th International IEEE Conference Intelligent Systems, IS 2008
Pages	214-221
Number of pages	8
DOIs	https://doi.org/10.1109/IS.2008.4670400
State	Published - 1 Dec 2008
Event	2008 4th International IEEE Conference Intelligent Systems, IS 2008 - Varna, Bulgaria Duration: 6 Sep 2008 → 8 Sep 2008

Publication series

Name	2008 4th International IEEE Conference Intelligent Systems, IS 2008
Volume	1

Conference

Conference	2008 4th International IEEE Conference Intelligent Systems, IS 2008
Country/Territory	Bulgaria
City	Varna
Period	6/09/08 → 8/09/08

Keywords

Data Warehouse
Fuzzy Data Warehouse
Fuzzy Systems

ASJC Scopus subject areas

Artificial Intelligence
Information Systems
Electrical and Electronic Engineering

Access to Document

10.1109/IS.2008.4670400

Cite this

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abstract = "A data warehouse is a special database used for storing business oriented information for future analysis and decision-making. In business scenarios, where some of the data or the business attributes are fuzzy, it may be useful to construct a warehouse that can support the analysis of fuzzy data. Here, we outline how Kimball's methodology for the design of a data warehouse can be extended to the construction of a fuzzy data warehouse. A case study demonstrates the viability of the methodology.",

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Sapir, L, Shmilovici, A & Rokach, L 2008, A methodology for the design of a fuzzy data warehouse. in 2008 4th International IEEE Conference Intelligent Systems, IS 2008., 4670400, 2008 4th International IEEE Conference Intelligent Systems, IS 2008, vol. 1, pp. 214-221, 2008 4th International IEEE Conference Intelligent Systems, IS 2008, Varna, Bulgaria, 6/09/08. https://doi.org/10.1109/IS.2008.4670400

A methodology for the design of a fuzzy data warehouse. / Sapir, Lior; Shmilovici, Armin ; Rokach, Lior.
2008 4th International IEEE Conference Intelligent Systems, IS 2008. 2008. p. 214-221 4670400 (2008 4th International IEEE Conference Intelligent Systems, IS 2008; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - A data warehouse is a special database used for storing business oriented information for future analysis and decision-making. In business scenarios, where some of the data or the business attributes are fuzzy, it may be useful to construct a warehouse that can support the analysis of fuzzy data. Here, we outline how Kimball's methodology for the design of a data warehouse can be extended to the construction of a fuzzy data warehouse. A case study demonstrates the viability of the methodology.

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A methodology for the design of a fuzzy data warehouse

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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