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The most related work is about database audit.
This work investigates a new approach to analysis of information included in the database audit trails.
A complete information about syntax trees obtained from a database audit trail is kept in a syntax tree table.
Discovering the complex periodic patterns in the database audit trails is a difficult and time-consuming task.
This paper addresses a problem how to discover the complex periodic patterns from information included in the database audit trails.
Although database audit can protect sensitive data from malicious query effectively, it requires some specialist to interactively specify audit commands, which is time-consuming.
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There are numerous examples, both published [15] [33] and unpublished, of database audits that compare database listings to CRFs.
To support database auditing and rollbacks, we extended the Chado schema to include an audit module, composed of several tables and database triggers.
We have made several improvements to the annotation system after the BGSAC annotation project and publication of the bovine genome (Fig 2), including support for direct writebacks from Apollo to the intermediate Chado database, database auditing and support for installing and launching Apollo using Java Webstart.
Comparison of Figures 3 and 4 shows that the source-to-database and CRF-to-database audit results are comparable.
The first source-to-database audit at each site occurred at a point when 20% 30% of the expected subjects were enrolled.
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