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  • 标题:Personalized Data Set For Analysis
  • 本地全文:下载
  • 作者:Vishal Gupta ; Ashutosh Saxena
  • 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:2010
  • 卷号:2
  • 期号:4
  • DOI:10.5121/ijdms.2010.2404
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Data Management portfolio within an organization has seen an upsurge in initiatives for compliance, security, repurposing and storage within and outside the organization. When such initiatives are being put to practice care must be taken while granting access to data repositories for analysis and mining activities. Also, initiatives such as Master Data Management, cloud computing and self service business intelligence have raised concerns in the arena of regulatory compliance and data privacy, especially when a large data set of an organization are being outsourced for testing, consolidation and data management. Here, an approach is presented where a new service layer is introduced, by data governance group, in the architecture for data management and can be used for preserving privacy of sensitive information.
  • 关键词:Data Management; Data Warehousing; Data Governance; Data Mining; Business Intelligence; Privacy
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