An error detection and correction strategy for a Decision Support System
Decision support systems (DSSs) require data generated from external sources. To be effective, a DSS needs a good data quality management program to ensure that every user has quality data on which to base his/her decisions. Hence, data integration is very important in such a system. A major issue of data integration is that given one or more objects that contain members with distinct keys, one must be able to determine with some fair degree of certainty: (1) whether two members from different objects having distinct keys (due to errors) are indeed functionally duplicates; and (2) whether two members from different objects having the same keys (due to errors) are actually functionally discrete. In this paper, an error detection and correction strategy based on distance measures with weights is proposed for data integration. A real application example developed for the Worldwide Household Goods Information System for Transportation Modernization (WHIST-MOD) project for the Personal Property Directorate (MTPP) of the Military Traffic Management Command (MTMC) is also presented. 9 refs., 3 figs., 3 tabs.
- Research Organization:
- Oak Ridge National Lab., TN (USA)
- Sponsoring Organization:
- USDOD; Department of Defense, Washington, DC (USA)
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 5650575
- Report Number(s):
- ORNL/TM-11749; ON: DE91014960
- Country of Publication:
- United States
- Language:
- English
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