Analysis of Inconsistent Retrieved Data for an Entity Attribute in Data Warehousing: A Case Study

Ray R. Hashemi, John R. Talburt

Research output: Contribution to book or proceedingChapter

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 languageAmerican English
Title of host publicationProceedings of The Fifth Joint Conference on Information Sciences (JCIS- 2000)
StatePublished - Feb 2000

Keywords

  • Analysis
  • Case study
  • Data warehousing
  • Entity attribute
  • Inconsistent
  • Retrieved data

DC Disciplines

  • Computer Sciences
  • Engineering

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