A KDD framework to support database audit

@article{Boulicaut2000AKF,
  title={A KDD framework to support database audit},
  author={Jean-François Boulicaut},
  journal={Information Technology and Management},
  year={2000},
  volume={1},
  pages={195-207}
}
Understanding data semantics from real-life databases is considered following an audit perspective: it must help experts to analyse what properties actually hold in the data and support the comparison with desired properties. This is a typical problem of knowledge discovery in databases (KDD) and it is specified within the framework of Mannila and Toivonen where data mining consists in querying theories e.g., the theories of approximate inclusion dependencies. This formalization enables us to… CONTINUE READING
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The Domain Knowledge Driven Intelligent Data Auditing Model

  • 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
  • 2010

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