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  • 标题:Selecting Experts Using Data Quality Concepts
  • 本地全文:下载
  • 作者:Carlos Eduardo Barbosa ; Marcio Antelio ; Jano Moreira de Souza
  • 期刊名称:International Journal of Database Management Systems
  • 印刷版ISSN:0975-5985
  • 电子版ISSN:0975-5705
  • 出版年度:2015
  • 卷号:7
  • 期号:6
  • 页码:1
  • DOI:10.5121/ijdms.2015.7601
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Personal networks are not always diverse or large enough to reach those with the right information. Thisproblem increases when assembling a group of experts from around the world, something which is achallenge in Future-oriented Technology Analysis (FTA). In this work, we address the formation of a panelof experts, specifically how to select a group of experts from a huge group of people. We propose anapproach which uses data quality dimensions to improve expert selection quality and provide qualitymetrics to the forecaster. We performed a case study and successfully showed that it is possible to use dataquality methods to support the expert search process.
  • 关键词:Learning Curves; Knowledge Depreciation;Data Quality;Expert Selection; Decision-making; Futureoriented;Technology Analysis.
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