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A Data Warehouse Mo...
A Data Warehouse Model for Integrating Fuzzy Concepts in Meta Table Structures
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fasel, daniel (author)
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- Shahzad, Muhammad Khurram (author)
- Stockholms universitet,Institutionen för data- och systemvetenskap
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(creator_code:org_t)
- IEEE, 2010
- 2010
- English.
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In: 17th- International Conference on Engineering of Computer-Based Systems. - : IEEE. - 9780769540054
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Abstract
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- In classical data warehouses (DWH), classification of values takes place in a sharp manner, because of this true values cannot be measured and smooth transition between classes does not occur. In this paper, a fuzzy data ware- house (FDWH) modeling approach, which allows integration of fuzzy concepts without affecting the core of a DWH is presented. This is accomplished through the addition of a meta-table structure, which enables integration of fuzzy concepts on dimensions and facts, while preserving the time-invariability of the DWH and allowing analysis of data both sharp and fuzzy. A comparison to existing approaches for integrating fuzzy concepts in DWH is presented. Guide- lines for modeling the fuzzy meta-tables and a meta-model for the FDWH are also outlined in this paper. The use of the proposed approach is demonstrated by a retail company example. Finally, a comparison of fuzzy and classical data warehousing approaches is presented.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Keyword
- Computer and systems science
- Data- och systemvetenskap
- Computer and Systems Sciences
- data- och systemvetenskap
Publication and Content Type
- vet (subject category)
- kon (subject category)
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