Using relational knowledge discovery to prevent securities fraud

@inproceedings{Neville2005UsingRK,
  title={Using relational knowledge discovery to prevent securities fraud},
  author={Jennifer Neville and {\"O}zg{\"u}r Simsek and David D. Jensen and John Komoroske and Kelly Palmer and Henry G. Goldberg},
  booktitle={KDD},
  year={2005}
}
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest private-sector securities regulator, with responsibility for preventing and discovering misconduct among securities brokers. Our goal was to help focus NASD's limited regulatory resources on the brokers who are most likely to engage in securities violations. Using statistical relational learning algorithms, we developed… CONTINUE READING

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