Abstract
In data warehousing, the values for a data attribute group are often incomplete and inconsistent for the same entity. For certain applications, one may wish to assemble either what is believed to be the most complete set of values or the preferred set of values based on data occurrences related to the same entity. In this paper, we propose, implement, and test a methodology for deriving both the complete and the preferred set of values where the data attribute group is a person's name.
Original language | American English |
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Title of host publication | Proceedings of The Fifth Joint Conference on Information Sciences (JCIS- 2000) |
State | Published - Feb 2000 |
Keywords
- Analysis
- Case study
- Data warehousing
- Entity attribute
- Inconsistent
- Retrieved data
DC Disciplines
- Computer Sciences
- Engineering